Six months of AI and Data Science Mentorship Program Introduction to numpy (a python Library)

Six months of AI and Data Science Mentorship Program

0% Completed

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 Introduction to numpy (a python Library)

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