Notes of All lectures on ABC of statistics for Data Science

Six months of AI and Data Science Mentorship Program Notes of All lectures on ABC of statistics for Data Science

Six months of AI and Data Science Mentorship Program

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How and Why to Register

Introduction

Video - 15:56 mins

Who is a Data Scientist?

Video - 3:20 mins

Software installation and Important Details

Software installation and websites for this course

Video - 8:10 mins

Website introduction and opportunity to learn and earn for Free

Video - 12:24 mins

Complete Installation of Softwares

Video - 10:35 mins

Video - 9:59 mins

Questions answered live on 26 09 2023

Video - 6:40 mins

Day-1

Welcome and 6 months plan

Video - 26:26 mins

Laptop buying guide for this course

Video - 6:46 mins

LLMs' websites and logins to learn prompt Engineering

Video - 5:37 mins

VScode themes and extensions for Killer look

Video - 5:47 mins

Questions and Answers Day-1

Video - 6:52 mins

Day-2

Artificial Intelligence Kya Hai?

Video - 27:07 mins

AI vs Data Science vs ML vs DL

Benefits of AI in our Daily life

Video - 9:07 mins

Registration Deadline for Paid Zoom Classes

Video - 1:04 mins

Day-3

Data Science vs. AI

Video - 00:00 mins

Data Science vs. Data Analytics

Video - 00:00 mins

AI and Types of AI

Video - 00:00 mins

Reading and Blogs for the course

Video - 4:50 mins

History of AI

Video - 9:46 mins

Find jobs in AI and Data Science

Video - 18:40 mins

Kia AI meri job khaye ge?

Video - 11:30 mins

Ideas for AI Developers

Video - 4:17 mins

Main Goals of this Course

Video - 3:52 mins

Why should I learn Python to learn AI?

Video - 5:45 mins

Software Installation to learn Python for AI and Data Science

Video - 2:00 mins

Conda Environments for coding in Python

Video - 6:14 mins

Python IDEs and VScode

Video - 2:38 mins

Day-4

Start with Python

Video - 01:04:08 mins

Day-5

Conda Environments (A-Z)

Video - 36:48 mins

First Line of code in python

Day-6

Indentations and if conditions in Python

Video - 6:40 mins

User input program in python

Video - 16:56 mins

Data structures and indexing in python

Video - 21:42 mins

Control flow statements in python

Video - 21:11 mins

Nested Loops in Python

Video - 15:53 mins

Day-7

Functions & Lmbda funtions in Python

Video - 29:19 mins

Modules and Libraries in Python

Video - 19:06 mins

Types of Errors in Python

Video - 7:15 mins

Jupyter Notebook and File Handling in Python

Video - 26:36 mins

Day-8

Mastering Pandas Library and EDA (Part-1)

Video - 01:21:33 mins

Practice on Pandas before next lectures

Reading

Day-9

Quiz No.1: Pandas Basics

Video - 00:15:00 mins

Mastering Pandas Library and EDA (Part-2)

Video - 1:00:00 mins

Day-10

Quiz No.2: Exploratory Data Analysis (EDA)

Video - 00:40:00 mins

Mastering Pandas Library and EDA (Part-3)

Video - 1:24:41 mins

Learn MarkDown Language in 72 minutes

Video - 00:72:00 mins

Day-11

Mastering Pandas Library and EDA (Part-4)

Video - 1:5:00 mins

Day-12

Mastering Pandas Library and EDA (Part-5)

Video - 00:00:00 mins

Day-13

Quiz No.3: Master Pandas and EDA with Interactive Quiz

Video - 00:17:00 mins

Automatic EDA with ydata-profiling

Video - 00:00:00 mins

Day-14

EDA on Google Play Store Data (Part-1)

Video - 1:57:00 mins

Day-15

Exploratory Data Analysis q zaroori hy?

Video - 00:00 mins

Missing Values ka rola kia hy?

Video - 00:00 mins

Day-16

Mastering Pandas Library and EDA (Part-8)

Video - 00:35:00 mins

Day-17: Complete EDA on Google PlayStore Apps

Complete EDA on Google Play Store Apps

Day-18: Outliers

How to identify Outliers? Visual + IQR Methods

Video - 13:23 mins

Z-score method for outliers detection

Video - 6:06 mins

How to handle Outliers?

Video - 4:53 mins

Outliers in one go (Quick Summary)

Video - 4:41 mins

Day-19: Complete EDA project on Apple APP store apps Dataset

Use AI for Fast paced EDA

Video - 29:12 mins

Big Datasets for EDA practice

Video - 4:16 mins

Complete EDA on Apple APP store Data (A-Z)

Video - 1:23:20 mins

Day-20

Pandas Python Library for EDA Analysis: A Comprehensive Guide

Video - 00:00 mins

Quiz Time

Video - 00:00 mins

Exploratory Data Analysis (EDA) Kyun Zaroori Hai?

Video - 00:00 mins

Missing values k Rolay

Day-21: Data Visualization-1

What is Data Visualization?

Video - 42:42 mins

Types of Plots/Charts

Video - 28:38 mins

Making plots/charts in Python

Video - 39:14 mins

Day-22: Data Science Portfolio

What is a Data Science Portfolio?

Video - 11:52 mins

Elements of a great Data Science Portfolio

Video - 11:44 mins

Steps to Create Data Science Portfolio

Video - 11:30 mins

What do recruiters look for in Data science jobs?

Video - 6:29 mins

How this course will build your portfolio?

Video - 11:15 mins

Polish your LinkedIn Profile for Data Science Jobs

Video - 27:44 mins

Day-23: Data Visualization-2

Data Visualization in Python (Blog and Code)

Video - 00:00 mins

Data Visualization in Python

Video - 01:12:00 mins

Day-24: Data Visualization-3

Plotting with Seaborn in Python | Data Visualization

Video - 44:45 mins

Plotly and Data Visualization for 2D and 3D Interactive plots

Video - 45:52 mins

15 important plots to make with plotly in python

Video - 49:57 mins

Day-25: Quiz Time, Data Visualization-4

Data Visualization Quiz

Video - 00:05:00 mins

Day-26: Data Visualization-5

Sunburst plot in Python using plotly

Video - 14:11 mins

Animated Plots in Python

Video - 19:48 mins

GEO Maps in Python using plotly: Interactive and Animated maps

Video - 32:02 mins

Saving Plotly Plots in gif files

Video - 3:39 mins

Python plotly Visualization: A complete Beginner guide

Video - 00:00 mins

Day-27: Data Scaling/Normalization/standardization and Encoding

Feature Scaling/Normalization

Video - 49:39 mins

Feature Encoding

Video - 19:14 mins

Day-28: NumPy (Part-1)

Introduction to numpy (a python Library)

Video - 00:43:00 mins

Day-29: NumPy (Part-2)

Mastering Numpy with extended functions of arrays

Video - 01:07:03 mins

Day-30: NumPy (Part-3)

NumPy indexing and slicing

Video - 9:44 mins

Day-31: NumPy (Part-4)

Creating NumPy arrays from Data

Video - 5:11 mins

Day-32a: NumPy (Part-5)

Matrices in NumPy python library

Video - 26:14 mins

Day-32b: Data Preprocessing / Data Wrangling

Mastering the art of Data preprocessing

Video - 00:00 mins

Day-33: Zero-to-Math for Data Science (Part-1)

What is Mathematics?

Video - 20:54 mins

Branches of Mathematics

Video - 17:33 mins

Number Theory

Video - 26:31 mins

What did you learn Today?

Video - 0:47 mins

Day-34: Zero-to-Math for Data Science (Part-2)

Number Theory in few words

Video - 7:16 mins

Applications of Number theory

Video - 13:12 mins

Pros of learning Number Theory and Mathematics

Video - 8:48 mins

Factors and Multiples

Video - 9:09 mins

Divisibility Rules in Math

Video - 14:13 mins

Day-35: Zero-to-Math for Data Science (Part-3)

Numbers and their types in number theory

Video - 15:05 mins

Day-36: Zero-to-Math for Data Science (Part-4)

What is Algebra?

Video - 14:25 mins

Why Algebra is important to learn?

Video - 2:39 mins

How to learn Algebra?

Algebra and Data Science

Video - 11:25 mins

Day-37: Algebra in Data Science

Algebra and Data Science (Reading Material)

Video - 00:00 mins

Day-38: Pre-Algebra (Part-1)

Pre-Algebra: Basic to Advanced understanding

Video - 00:00 mins

Basics of pre-algebra

Video - 11:24 mins

Introduction to pre-algebra

Video - 8:13 mins

Day-39: Pre-Algebra (Part-2)

Fractions

Video - 16:09 mins

Fractions and Decimals

Video - 12:18 mins

Ratios and proportions

Video - 15:19 mins

Percentages and Percent Calculations

Video - 19:32 mins

Day-40: Pre-Algebra (Part-3)

Solving equations

Video - 16:01 mins

Measurements, Units and Geometry

Video - 9:31 mins

Data Analysis and Algebra

Video - 5:45 mins

Problem solving in algebra

Video - 3:52 mins

Exercise Questions for pre-algebra

Video - 2:45 mins

Day-41: Elementary Algebra

Elementary Algebra

Video - 00:19:11 mins

Important Tasks

Video - 2:05 mins

Day-42: Linear Algebra (Part-1)

Day-43: Linear Algebra (Part-2)

Linear Algebra Definitions

Video - 6:18 mins

Cartesian coordinates Geometry and Linear Algebra

Video - 10:23 mins

Unit Vectors

Video - 7:59 mins

Scalars and Scaling a vector

Video - 5:14 mins

Day-44: Linear Algebra (Part-3)

Vectors' Addition

Video - 9:37 mins

Vector span and Linear Dependence of vectors

Video - 17:45 mins

Vector Space

Video - 4:38 mins

x and y intercepts in linear algebra

Video - 21:08 mins

Dot product of vectors

Video - 5:02 mins

Cross product of two vectors

Video - 9:38 mins

Day-45: Linear Algebra (Part-4)

Basis Vectors and Transformation

Video - 23:37 mins

Linear Transformation and Matrices

Video - 24:09 mins

Matrices are Linear Transformations

Video - 6:50 mins

Shear Transformations

Video - 8:44 mins

Why do we need transformations?

Video - 3:11 mins

Matrix Multiplications as compositions

Video - 17:30 mins

Matrices and Types (Part-1/2)

Video - 6:43 mins

Matrices and Types (Part-2/2)

Video - 10:18 mins

Day-46: Linear Algebra (Part-5)

Addition and Subtraction of matrices

Video - 3:22 mins

Matrices Multiplication

Video - 5:27 mins

Importance of Matrices Multiplication in Data Science and AI

Video - 1:05 mins

Determinants of Matrices

Video - 10:14 mins

Important Tasks

Video - 0:17 mins

Day-47: Linear Algebra (part-6)

Types of Linear Equations

Video - 3:59 mins

Writing System of Equations

Video - 18:39 mins

Matrix form of System of Equations

Video - 11:16 mins

Assignment Alert

Video - 1:57 mins

Day-48: Linear Algebra (Part-7)- Solving System of Equations

Solving system of equations

Matrix inversion Method

Day-49: Linear Algebra (Part-8)- Solving System of Equations

Advance Methods to solve system of equations

Video - 2:47 mins

Gaussian Elimination Method

Video - 8:50 mins

Gauss-Jordan Elimination Method

Video - 8:16 mins

LU Decomposition Method

Video - 11:07 mins

Singular Value Decomposition (SVD)

Video - 38:51 mins

Day-50: Linear Algebra (Part-9)- Solving System of Equations

Row Operations Permissible vs. non-permissible

Video - 4:59 mins

Eigenvalues and Eigenvectors

Video - 16:15 mins

SVD in Python

Video - 10:37 mins

Important Tasks before upcoming lectures

Video - 1:42 mins

Day-51: Linear Algebra (Part-10) – Python

Linear Algebra Articles

Video - 5:44 mins

Solving System of Equations in python

Video - 8:31 mins

Solve system of complex equations in python

Video - 5:02 mins

Vectors in Python

Video - 4:41 mins

Linear Transformation in python

Video - 7:11 mins

Shear Transformation in python

Video - 4:02 mins

singular value decompositions (SVD) in python

Video - 8:57 mins

Linear Algebra-Notes

Video - 00:00 mins

Vectors in Linear Algebra-Notes

Video - 00:00 mins

Linear Transformation-Notes

Day-52: Statistics for Data Science (Part-1)

Why statistics is important?

Video - 7:15 mins

Scales or Levels of Measurements

Video - 17:26 mins

Qualitative vs. Quantitative Data

Video - 9:37 mins

Discrete vs. Continuous vs. Binary Data

Video - 6:56 mins

What is Time Series Data?

Video - 3:03 mins

What is spatial Data?

Video - 2:25 mins

Day-53: Statistics for Data Science (Part-2)

Categorical vs. Ordinal Categorical Data

Video - 4:43 mins

Multivariate Data Type

Video - 3:01 mins

Structured vs. Unstructured Data

Video - 9:34 mins

Boolean Data Type

Video - 1:17 mins

Operationalization and Proxy Measurements

Video - 8:25 mins

Day-54: Statistics for Data Science (Part-3)

Surrogate Endpoints in statistics

Video - 9:27 mins

True and Error Score

Video - 10:30 mins

Types of Errors in Data Collection

Video - 11:21 mins

Type-I and Type-II errors

Video - 11:59 mins

Examples from the Audience for Type I and Type II errors

Video - 3:08 mins

Reliability and validity

Video - 15:39 mins

Triangulation

Video - 15:31 mins

Notes of All lectures on ABC of statistics for Data Science

Video - 4:06 mins

Day-55: Statistics for Data Science (Part-4)

Measurement and Data Bias

Video - 27:59 mins

How to remove bias?

Video - 8:39 mins

Statistics and types of Statistics

Video - 18:19 mins

Why is statistics important to learn?

Video - 10:37 mins

Data Analysis and Types of Data Analysis

Video - 15:43 mins

Next Tasks to Learn: Sample and Population

Video - 3:07 mins

Day-56: Statistics for Data Science (Part-5)

Central Tendency: Mean, Median, and Mode

Video - 00:06:20 mins

Day-57: Statistics for Data Science (Part-6)

Central Tendency of the Data Complete Guide

Video - 10:33 mins

Mean

Video - 24:42 mins

Hormonic Mean understanding of the formula

Video - 1:18 mins

Limitations of using mean in Data Science and statistics

Population vs. sample and their means

Video - 6:42 mins

Variability | Dispersion | Spread of the Data

Video - 21:02 mins

Day-58: Statistics for Data Science (Part-7)

Range

Video - 9:28 mins

Inter quartile Range (IQR)

Video - 17:39 mins

Variance

Video - 12:40 mins

Standard Deviation and Standard Error

Video - 24:03 mins

Normal distribution and Standard Deviation

Video - 7:43 mins

Day-59: Statistics for Data Science (Part-8)

Data Distributions and types of data distributions

Video - 45:24 mins

Skewness and Kurtosis

Video - 45:30 mins

Day-60: Statistics for Data Science (Part-9)

Primary vs. Secondary | Data

Video - 13:43 mins

Next Tasks for upcoming lectures on sampling

Video - 1:19 mins

Day-61: Statistics for Data Science (Part-10)

Data Collection in the age of big data

Video - 16:24 mins

Best Practices for Data Collection

Video - 10:00 mins

Representative and Non-representative sample types

Video - 11:59 mins

Details of each Sampling Techniques for Data Collection

Video - 10:27 mins

Hybrid Sampling

Video - 0:33 mins

Day-62: Statistics for Data Science (Part-11)

Descriptive Statistics

Video - 16:00 mins

EDA and Statistics

Video - 18:53 mins

How to choose the right statistical method?

Video - 23:39 mins

EDA and the Four Pillars of statistics

Video - 5:04 mins

Day-63: Statistics for Data Science (Part-12)

Dependent vs. independent variables

Video - 9:59 mins

Inferential Statistics

Video - 7:17 mins

Hypothesis Testing

Video - 21:03 mins

Confidence Interval in statistics

Video - 10:05 mins

Day-64: Statistics for Data Science (Part-13)

Chi-Square Test in Python

Video - 12:37 mins

Next Statistical tests

Video - 0:53 mins

Test for Normal Distribution Shapiro-Wilk Test in Python

Video - 8:23 mins

t-tests in Python

Video - 12:07 mins

Levene's test in Python

Video - 4:19 mins

One-way ANOVA in python

Video - 4:57 mins

Day-65: Statistics for Data Science (Part-14)

ANOVA | one-way, 2-way and N-way in Python

Video - 27:42 mins

MANOVA in python

Video - 5:55 mins

Correlation in Python

Video - 15:40 mins

Day-66: Statistics for Data Science (Part-15)

Chi-squared test case study in python

Video - 18:51 mins

t-test and case studies in python

Video - 16:48 mins

One-way and Two-way ANOVA case studies

Video - 19:39 mins

Correlation | Pearson's and Spearman's | Case studies in python

Video - 14:41 mins

EDA and basic Pillars of Statistics

Video - 4:18 mins

Book announcement for Statistics ABC of statistics

Video - 1:33 mins

Day-67: Machine Learning (Part-1)

What is machine learning?

Video - 7:27 mins

Types of Machine Learning

Video - 15:37 mins

Day-68: Machine Learning (Part-2)

ML Model Building to Deployment | Steps A-Z

Video - 34:28 mins

What is an algorithm?

Video - 8:25 mins

Training and Testing Data | Features and Labels | Model

Video - 4:19 mins

Overfitting vs. Underfitting

Video - 10:14 mins

Important Python libraries for Machine Learning

Video - 7:29 mins

Installation steps

Video - 14:44 mins

Day-69: Machine Learning (Part-3)

Data Pre-processing before ML Model

Video - 30:28 mins

Day-70: Machine Learning (Part-4)

Steps in Data Pre-processing

Video - 7:23 mins

Dealing with Missing values in Python

Video - 45:52 mins

Day-71: Machine Learning (Part-5)

Dealing with Data Inconsistencies / Anomalies

Video - 25:39 mins

Outliers | Data Pre-processing

Video - 45:19 mins

IQR Method to remove Outliers

Video - 17:39 mins

Day-72: Machine Learning (Part-6)

Data Preprocessing Steps

Video - 2:07 mins

Feature Scaling and Normalization

Video - 21:44 mins

Standard Scaling or standardizing the data

Video - 10:55 mins

Day-73: Machine Learning (Part-7)

Min-max, MaxAbs, and Robust Scalars in python

Video - 4:16 mins

Most used Scaling methods for feature scaling

Video - 0:44 mins

Normalization and Nonlinear Data Transformation of data

Video - 14:24 mins

L2 and L1 Normalization in python

Video - 12:37 mins

Feature Scaling vs. Normalization

Video - 9:03 mins

Tips about Scaling and normalization

Video - 2:51 mins

Assignment Alert

Video - 1:54 mins

Day-74: Machine Learning (Part-8)

What is feature encoding?

Video - 13:06 mins

Benefits of feature encoding

Video - 12:44 mins

Feature Encoding in Python using scikit-learn

Video - 20:49 mins

Feature-encoding with pandas python

Video - 4:46 mins

Data Discretization | Data Binning

Video - 17:47 mins

Data preprocessing steps completed

Video - 3:12 mins

Scikit-learn base Jupyter notebook

Video - 20:04 mins

Day-75: Machine Learning (Part-9)

Linear Regression A-Z

Video - 1:03:55 mins

Day-76: Machine Learning (Part-10)

Logistic Regression (Theory)

Video - 8:07 mins

Logistic Regression and example in Python A-Z

Video - 29:10 mins

Evaluation Metrics for Regression & Classification Models

Video - 8:12 mins

Day-77: Machine Learning (Part-11)

Train test split matters

Video - 20:32 mins

Support Vector Machines (SVM) Theory

Video - 23:49 mins

Support Vector Machines (SVM) in Python

Video - 18:59 mins

Assignment Alert about SVM

Video - 0:29 mins

Upload Notebooks on Kaggle

Video - 17:31 mins

Day-78: Machine Learning (Part-12)

K-Nearest Neighbors (KNN) Theory

Why Minkowski Distance is Important?

Video - 3:44 mins

Hamming Distance

Video - 4:55 mins

K-Nearest Neighbors (KNN) in Python

Video - 20:25 mins

Day-79: Machine Learning (Part-13) Decision Tree

Algorithms we have learned so far

Video - 7:45 mins

What is Decision tree Algorithm?

Video - 9:33 mins

Elements of Decision Tree

Video - 12:51 mins

Entropy, Gini impurity and information gain theory

Video - 22:09 mins

Entropy, Gini impurity and information gain in python

Video - 16:20 mins

Decision Tree Classifier in Python

Video - 23:01 mins

Day-80: Machine Learning (Part-14)-Ensemble Algorithms

Ensemble Algorithms

Video - 21:21 mins

Random Forest (Theory)

Video - 18:55 mins

Random Forest in Python for Classification and Regression

Video - 17:25 mins

Day-81: Machine Learning (Part-15)-Evaluation Metrics

Evaluation Metrics in Machine Learning

Video - 4:31 mins

Regression Metrics

Video - 19:22 mins

Day-82: Machine Learning (Part-16)-Metrics for Classification

Evaluation Metrics for Classification Algorithms

Video - 30:59 mins

Day-83: Machine Learning (Part-17)

Ensemble Algorithms Family

Video - 8:00 mins

Boosting in Ensemble Methods

Video - 21:29 mins

Day-84: Machine Learning (Part-18)

Boosting algorithms and their pros. and cons.

Video - 11:48 mins

Booting algorithms vs. Neural Networks

Video - 13:30 mins

xgBoost vs. Random forest vs. Decision Tree | in python

Video - 23:13 mins

Day-85: Machine Learning (Part-19)

catBoost algorithm in Python

Video - 16:13 mins

Day-86: Machine Learning (Part-20)

Hyperparameter Tuning and Cross Validation

Video - 18:57 mins

Cross Validation in machine learning (Part-1)

Video - 12:22 mins

Cross Validation in machine learning (Part-2)

Video - 2:24 mins

Day-87: Machine Learning (Part-21)

pipeline in Machine Learning using Scikit-learn

Video - 18:57 mins

Best Model Selection in Python using Scikit-learn

Video - 9:53 mins

Day-88: Machine Learning (Part-22)

Naive Bayes Algorithm (Part-1)

Video - 16:18 mins

Types of Naive Bayes Algorithm | NB (Part-2)

Video - 6:18 mins

NAIVE Bayes in Python | Naive Bayes Algorithm (Part-3)

Video - 7:16 mins

Questions and Answers | Naive Bayes Algorithm (Part-4)

Video - 1:06 mins

Day-89: Machine Learning (Part-23)

Best hyperparameter tuned Model Selection

Video - 24:08 mins

Day-90: Machine Learning (Part-24)

How to select the best model (Presentation-1) and Feedback

Video - 24:11 mins

How to select the best model (Presentation-2) and Feedback

Video - 26:04 mins

Question and Answers session on 90th day of this course

Video - 38:31 mins

Day-91: Machine Learning (Part-25)

Encoding and Inverse Transform the data

Video - 26:47 mins

Day-92: Machine Learning (Part-26)

Basic Method | Missing Values Imputation (Part-1)

Video - 11:11 mins

Machine Learning models | Missing Values Imputation (Part-2)

Video - 13:06 mins

Advance Methods | Missing Values Imputation (Part-3)

Video - 4:01 mins

Last lecture of 2023 for AI and Data Science

Video - 0:15 mins

Day-93: Machine Learning (Part-27)

Supervised Machine Learning and Assumptions

Video - 8:10 mins

Day-94: Machine Learning (Part-28)

Mathematics and Assumptions of Linear Regression

Video - 9:35 mins

Multilinear Regression and Mathematics with Assumptions

Video - 3:08 mins

Day-95: Machine Learning (Part-29)

Polynomial Regression Theory and Assumptions

Video - 14:09 mins

Polynomial Regression in Python with coding

Video - 8:18 mins

Day-96: Machine Learning (Part-30)

Ridge Regression in Python L2 Regularization

Video - 23:45 mins

Lasso Regression | L1 Regularization

Video - 13:04 mins

Day-97: Machine Learning (Part-31)

Heart Disease prediction | A complete ML Project (Part-1)

Video - 45:08 mins

Heart Disease prediction | A complete ML Project (Part-2)

Video - 1:17:15 mins

Heart Disease prediction | A complete ML Project (Part-3)

Video - 21:27 mins

Day-98: Machine Learning (Part-32)

Heart Disease prediction | A complete ML Project (Part-4)

Video - 11:03 mins

Heart Disease prediction | A complete ML Project (Part-5)

Video - 8:25 mins

Day-99: Machine Learning (Part-33)

Heart Disease prediction | A complete ML Project (Part-6)

Video - 17:07 mins

Heart Disease prediction | A complete ML Project (Part-7)

Video - 30:24 mins

Day-100: Un-Supervised Machine Learning (Part-1)

Un-supervised Machine Learning - Introduction

Video - 40:04 mins

What is Clustering?

Video - 16:15 mins

k-Means clustering - Theory

Video - 1:08:43 mins

k-Mean clustering in python

Video - 1:12:07 mins

Day-101: Un-Supervised Machine Learning (Part-2)

Hierarchical Clustering | Theory

Video - 36:27 mins

Hierarchical Clustering | Coding in python

Gaussian Mixture Models (GMMs) | Theory

Video - 27:58 mins

Gaussian Mixture Models (GMMs) | Metrics

Video - 10:44 mins

Day-102: Un-Supervised Machine Learning (Part-3)

Feature Engineering (Part-1)

Video - 1:01:34 mins

Feature Engineering (Part-2)

Video - 28:27 mins

PCA | Principal Component Analysis | Theory

Video - 1:12:44 mins

PCA | Principal Component Analysis | Case Study in Python

Video - 30:39 mins

SVD | Singular Value Decomposition

Video - 27:43 mins

t-SNE | t-distributed Stochastic Neighbor Embedding

Video - 1:13:40 mins

Day-103: Deep Learning (Part-1)

Introduction to Deep Learning

Video - 5:00 mins

Machine Learning vs. Deep Learning

Video - 00:13:58 mins

Small Data vs. Big Data for Deep Learning

Video - 2:30 mins

Day-104: Deep Learning (Part-2)

What is a Neural Network?

Video - 21:17 mins

Types of Neural Network

Video - 7:06 mins

Day-105: Deep Learning (Part-3)

Architecture of Neural Networks

Video - 4:34 mins

Single Layer vs. Multilayer Neural Network

Video - 3:16 mins

Day-106: Deep Learning (Part-4)

Multi Layer Perceptron

Video - 16:25 mins

Types of Multi Layer Perceptron

Video - 9:49 mins

Applications of Multi layer perceptron

Video - 4:29 mins

Day-107: Deep Learning (Part-5)

Python Libraries for Deep Learning

Video - 17:03 mins

Ten steps to create a neural Network

Video - 10:52 mins

Build Neural Networks in Python with TensorFlow

Video - 24:00 mins

Day-108: Deep Learning (Part-6)

GPU for Deep Learning with TensorFlow

Video - 3:20 mins

Build a Multilayer Perceptron in Python with TensorFlow

Video - 13:25 mins

Day-109: Deep Learning (Part-7)

Call Back Function for Early Stopping of epochs

Video - 7:46 mins

How many neurons should be in each layer?

Video - 8:36 mins

Day-110: Deep Learning (Part-8)-Activation Functions

Activation functions in Neural Network | Linear vs. Step vs. Sigmoid

Video - 54:10 mins

tanH, ReLu, Leaky Relu, Paramteric ReLu activation functions

Video - 25:53 mins

Softmax activation function | Multiclass classification

Video - 10:30 mins

How to choose an activation function for neural network?

Video - 17:29 mins

Day-111: Case Studies (Complete Machine/Deep Learning Projects)

Case Study on UCI Heart Disease Data Project 1

Video - 24:51 mins

Case Study on UCI Heart Disease Data Project 2

Video - 34:38 mins

Case Study on UCI Heart Disease Data Project 3

Video - 23:11 mins

Case Study on UCI Heart Disease Data Project 4

Video - 10:22 mins

Competitions and Assignments for the course

Video - 10:55 mins

Day-112: Deep Learning (Part-9)-Complete Project

Case Study for Kaggle Competition-(Complete Deep Learning Project)

Video - 1:04:07 mins

What is random seeding or Random State in ML?

Video - 2:29 mins

Day-113: Deep Learning (Part-10)-Complete Project

Case Study on Bank Churn Dataset

Video - 1:05:04 mins

Important Assignment for Kaggle Competitions

Video - 0:57 mins

Announcement about the AI Job Ready Course on Codanics

Video - 3:04 mins

Day-114: Deep Learning (Part-11)-Convolutional Neural Network (CNN)

Convolutional Neural Network (CNN) | Part-1

Video - 15:03 mins

Convolutional Neural Network (CNN) | Part-2

Video - 35:06 mins

Convolutional Neural Network (CNN) | Part-3

Video - 36:53 mins

Day-115: Deep Learning (Part-12)-Convolutional Neural Network (CNN)

Convolutional Neural Network (CNN) | Part-4

Video - 26:57 mins

Convolutional Neural Network (CNN) | Part-5

Video - 1:01:29 mins

Convolutional Neural Network (CNN) | Part-6

Video - 31:10 mins

Day-116: Deep Learning (Part-13)-Computer Vision

What is Computer Vision?

Video - 30:19 mins

Python & Computer vision

Video - 22:04 mins

Assignment alert

Video - 1:06 mins

Day-117: Deep Learning (Part-14)-Complete CNN Project

Paddy Rice Disease Detection Project

Video - 54:42 mins

Day-118: Deep Learning (Part-15)-Recurrent Neural Network (RNN)

Introduction to RNN

Video - 14:05 mins

RNN In depth Understanding

Video - 58:41 mins

RNN and Python for Project making

Video - 17:33 mins

Day-119: Deep Learning (Part-16)-Natural Language Processing (NLP)

Introduction to Natural Language Processing

Video - 1:01:46 mins

Sentiment Analysis and NLP

Video - 46:29 mins

Day-120: Deep Learning (Part-17)-Natural Language Processing (NLP)

LSTM (Long Short Term Memory) for NLP

Video - 27:04 mins

History of ANN, CNN, RNN, LSTM, GRU

Video - 50:16 mins

LSTM vs. GRU types of RNN for Deep learning in NLP

Video - 24:40 mins

Day-121: Time Series Analysis (Part-1)

Introduction to Time Series Analaysis

Video - 1:09:47 mins

Day-122: Time Series Analysis (Part-2)

Data Analysis Types for Time Series Data

Video - 32:04 mins

Types of Data about Time

Video - 5:09 mins

Time series analysis and plotting in python

Video - 28:51 mins

Day-123: Time Series Analysis (Part-3)

Time Series Project understanding and development

Video - 51:25 mins

Day-124: Time Series Analysis (Part-4)

Time series Weather forecasting project (Part-1)

Video - 1:12:31 mins

Time series Weather forecasting project (Part-2)

Video - 1:21:36 mins

Time series Weather forecasting project (Part-2)

Video - 17:13 mins

Day-125: Time Series Analysis (Part-5)

prophet model from FB (meta) for time series analysis (1/2)

Video - 1:07:57 mins

prophet model from FB (meta) for time series analysis (1/2)

Video - 26:20 mins

Day-126: Time Series Analysis (Part-6): Web-scrapping

What is web scrapping?

Video - 32:30 mins

Web scrapping in python

Video - 26:21 mins

Stock market data scrapping in python

Video - 23:04 mins

Day-127: Time Series Analysis (Part-7): ARIMA models for time series

ARIMA (Time series analysis) in python (Part-1)

Video - 43:34 mins

ARIMA (Time series analysis) in python (Part-2)

Video - 8:45 mins

ARIMA (Time series analysis) in python (Part-3)

Video - 17:35 mins

Day-128: Time Series Analysis (Part-8): Complete Project

ARIMA, SARIMA, SARIMAX in python complete project

Video - 1:04:15 mins

Day-129: git & GitHub Crash Course

git and GitHub crash course

Video - 41:54 mins

Day-130: Over-fitting and Under-fitting in a Model

Underfitting in a Machine/Deep Learning Model

Video - 7:50 mins

Overfitting in a Machine/Deep Learning Model

Video - 6:38 mins

Good Fit or Robust Model in Machine/Deep Learning

Video - 4:36 mins

Day-131: Improving Machine/Deep Learning Model’s Performance

How to Improve Model's Fitness?

Video - 8:38 mins

Project Based Improving Model's Fitness

Video - 23:39 mins

Day-132: Transfer Learning and Pre-trained Models (Part-1)

Introduction to Transfer learning

Video - 19:54 mins

Transfer Learning in Python using TensorFlow

Video - 17:05 mins

Assignment Alert for Transfer Learning

Video - 1:02 mins

Day-133: Transfer Learning and Pre-trained Models (Part-2)

Use of TensorFlow for Image Classification - A complete Project

Video - 44:37 mins

Day-134 Transfer Learning and Pre-trained Models (Part-3)

MobileNetV2 pre-trained Mode: A complete Project

Video - 30:27 mins

Day-135: Generative AI (Part-1)

What is Generative AI?

Video - 13:07 mins

Important Key Terms used in Generative AI

Video - 33:04 mins

Day-136: Generative AI (Part-2)

How does Generative AI work?

Video - 7:14 mins

Generative AI in 2024

Video - 15:01 mins

Day-137: Generative AI (Part-3)

Generative AI | Kia meri job kha jaye ge?

Video - 5:43 mins

Day-138: Generative AI (Part-4)

Progressive growing Generative Adversarial Networks (GANs)

Video - 51:04 mins

Assignment Alert

Video - 2:33 mins

Day-139: Generative AI (Part-5)-Tensorboard

TensorBoard: a crash course

Video - 38:46 mins

Day-140: Generative AI (Part-6)-Diffusion Models

Introduction to Diffusion Models

Video - 17:14 mins

Stable Diffusion Models in python

Video - 21:38 mins

Day-141: Generative AI (Part-7)

SORA: An openAI's model for AI video generation

Video - 10:17 mins

Important Logins to create before next lecture

Video - 3:45 mins

Day-142: Prompt Engineering

Introduction to prompt Engineering

Video - 24:36 mins

Types of Prompt Enginnering

Video - 8:05 mins

Prompt Designing Strategies to write best prompt

Video - 11:47 mins

Generate Prompts from LLMs

Video - 8:09 mins

LLMs and prompt engineering live demo

Video - 44:02 mins

Day-143: Huggingface

Use pre trained models from Huggingface

Video - 33:08 mins

Day-144: LangChain and APIs

Introduction to API (Application Programming Interface)

Video - 25:30 mins

LangChain workflow for LLMs

Video - 9:20 mins

Applications of LangChain for LLMs

Video - 7:47 mins

LangChain + OpenAI API + HuggingFace API

Video - 15:43 mins

Day-145: Streamlit for webapp development and deployment (Part-1)

Introduction and installation

Video - 16:01 mins

My first app in streamlit

Video - 20:29 mins

streamlit cheat sheet

Video - 1:06 mins

Day-146: Streamlit for webapp development and deployment (Part-2)

Streamlit Data Science application

Video - 26:14 mins

Day-147: Streamlit for webapp development and deployment (Part-3)

Streamlit webapp without coding but prompting

Video - 45:09 mins

Day-148: Streamlit for webapp development and deployment (Part-4)

Creating a word Cloud app on streamlit python

Video - 17:00 mins

requirements.txt file for streamlit apps

Video - 3:42 mins

Day-149: Streamlit for webapp development and deployment (Part-5)

Streamlit app deployment on free servers

Video - 16:28 mins

Day-150: Streamlit for webapp development and deployment (Part-6)

Create an app only in 14 lines of codes

Video - 6:30 mins

Day-151: Streamlit for webapp development and deployment (Part-7)

Manage Secrets in streamlit deployment with python

Video - 13:48 mins

Day-152: Streamlit for webapp development and deployment (Part-8)

ask the pdf and other docx application

Video - 22:33 mins

Day-153: Streamlit for webapp development and deployment (Part-9)

Streamlit project read pdfs in a folder

Video - 27:47 mins

Day-154: Streamlit for webapp development and deployment (Part-10)

Stock Market Analysis and Prediction app

Video - 18:59 mins

Day-155: Streamlit for webapp development and deployment (Part-11)

Dall-e-3 Image generation app in python

Video - 12:45 mins

Day-156: Streamlit for webapp development and deployment (Part-12)

Speech to text Streamlit Application development

Video - 17:44 mins

Day-157: Streamlit for webapp development and deployment (Part-13)

Text to speech Streamlit application

Video - 32:15 mins

How to Earn using Data Science and AI skills

How to earn online using Data Science and AI

Video - 51:04 mins

Day-158: Flask for web app development (Part-1)

is FLASK better than streamlit?

Video - 9:07 mins

Installation and basics of web app development in flask

Video - 24:12 mins

Day-159: Flask for web app development (Part-2)

flask Installation and basic application development

Video - 17:02 mins

Open Conda environments inside vscode

Video - 6:51 mins

Flask app for basic EDA and plotting

Video - 00:09:21 mins

Image Generation app development in flask python

Video - 10:58 mins

Assignment

Video - 0:50 mins

Day-160: Flask for web app development (Part-3)

End to End machine Learning project in flask | house price prediction

Video - 12:32 mins

Day-161: Flask for web app development (Part-4)

End to End machine Learning project in flask | Tip prediction

Video - 7:53 mins

Day-162: Flask for web app development (Part-5)

Diabetes prediction app development

Video - 00:24:51 mins

Day-163: Flask for web app development (Part-6)

Text to speech web app development

Video - 15:18 mins

Day-164: Flask for web app development (Part-7)

WordCloud app development

Video - 5:55 mins

Speech to text app using openAI API

Video - 9:43 mins

Day-165: Flask for web app deployment (Part-8)

Web application deployment on Amazon AWS EC2 Instance

Video - 53:06 mins

Day-166: FastAPI (Part-1)

Intro to FastAPI | is FastAPI really fast?

Video - 7:51 mins

Installing FastAPI using conda

Video - 12:32 mins

Day-167: FastAPI (Part-2)

Book Store app in FastAPI in python

Video - 10:51 mins

Day-168: FastAPI (Part-3)

FastAPI basics and running server

Video - 00:07:26 mins

Day-169: FastAPI (Part-4)

Swagger docs in FastAPI

Video - 4:34 mins

Day-170: FastAPI (Part-5)

Path parameters in FastAPI

Video - 9:46 mins

Day-171: FastAPI (Part-6)

Users path parameters in FastAPI

Video - 5:53 mins

Day-172: FastAPI (Part-7)

Titanic app backend development with FastAPI

Video - 5:47 mins

Day-173: FastAPI (Part-8)

Add static plots to FastAPI app

Video - 5:10 mins

Add interactive plots in FastAPI app using plotly

Video - 7:24 mins

Day-174: FastAPI (Part-9)

Different port numbers for FastAPI

Video - 7:18 mins

Day-175: Tableau Complete Course (Part-1)

What is Tableau?

Video - 3:24 mins

Tableau Learning Resources

Video - 1:14 mins

Tableau Public Installation Free

Video - 5:19 mins

How Tableau Public Looks Like? Interface

Video - 3:14 mins

Load Data in Tableau Public

Video - 4:10 mins

Load and handle Dataset in Tableau Public

Video - 7:08 mins

Data Types check in Tableau Public

Video - 5:49 mins

Data Filtering and sorting in Tableau Public

Video - 5:56 mins

Day-176: Tableau Complete Course (Part-2)

Data Visualization in Tableau Public

Video - 11:12 mins

Scatter Plots in Tableau Public

Video - 7:51 mins

Dynamic Scatter Plot in Tableau Public

Video - 5:30 mins

Flip your charts in tableau public

Video - 0:55 mins

Bar plots and sorting in Tableau public

Video - 8:29 mins

GEO Maps in Tableau public

Video - 5:15 mins

Day-177: Tableau Complete Course (Part-3)

Your Own Project Visualization in Tableau Public

Video - 5:03 mins

Saving your plots with Tableau Public

Video - 5:43 mins

Day-178: Tableau Complete Course (Part-4)

Area Charts in Tableau Public

Video - 6:00 mins

Group charts in Tableau

Video - 2:25 mins

Tableau Interactive Dashboard Development

Video - 11:37 mins

Tableau Dashboard Deployment for Community

Video - 7:18 mins

Day-179: Power BI (Part-1)

Introduction to Data Visualization and Power BI

Video - 7:54 mins

Power BI vs. Tableau vs. Python?

Video - 00:08:55 mins

Top 11 benefits of using Power BI

Video - 00:11:05 mins

Day-180: Power BI (Part-2)

Install Power BI Desktop

Video - 00:06:45 mins

Update Power BI features and Updates

Video - 00:04:25 mins

Learning Resources for Power BI

Video - 00:03:52 mins

Day-181: Power BI (Part-3)

Business Intelligence with Power BI

Video - 00:11:08 mins

Seven Steps Workflow to use Power BI

Video - 4:40 mins

Power BI interface and Features

Video - 12:19 mins

Connect Data in Power BI

Video - 14:13 mins

Day-182: Power BI (Part-4)

Data Visualization and Plotting in Power BI

Video - 3:33 mins

Column/Bar charts in Power BI

Video - 7:57 mins

Create a bar plot like a professional

Video - 16:36 mins

Pro tips to make a stunning plot in Power BI

Video - 14:54 mins

Day-183: Power BI (Part-5)

Pie Charts in power BI

Video - 00:04:30 mins

Donut Charts in Power BI

Video - 00:03:52 mins

Tree Map in Power BI

Video - 00:03:24 mins

Line Chats in Power BI

Video - 00:06:24 mins

Day-184: Structured Querry Language (SQL) for Beginners

Install MySQL on Windows 10

Video - 14:12 mins

Create a MySQL Database for Beginners

Video - 2:29 mins

Create/modify tables in mySQL

Video - 19:22 mins

DISTINCT function in mySQL

Video - 5:39 mins

Constraints in mySQL

Video - 51:51 mins

Auto increment in mySQL

Video - 5:56 mins

mySQL workbench first look and interface

Video - 20:08 mins

Import mySQL database in mySQL workbench

Video - 12:14 mins

Pandas processing on mySQL database

Video - 5:08 mins

SELECT clause in mySQL

Video - 12:25 mins

Data Manupulation in mySQL

Video - 14:05 mins

WHERE clause and comparison operators

Video - 10:48 mins

AND OR NOT and IN

Video - 12:30 mins

BETWEEN clause in mySQL

Video - 4:14 mins

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Six months of AI and Data Science Mentorship Program Notes of All lectures on ABC of statistics for Data Science

Six months of AI and Data Science Mentorship Program