Python-101 Extended - Codanics

Python-101 Extended - Codanics

Python ka Chilla for Data Science (40 Days of Python for Data Science) Python-101 Extended

Python ka Chilla for Data Science (40 Days of Python for Data Science)

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Day-1: Welcome and Introduction

Who is a Data Scientist?

Video - 3:20 mins

Introduction to python ka chilla for Data Science

Video - 1:00:13 mins

Installation of Software needed for the course

Video - 5:37 mins

Write your first line of code

Video - 6:42 mins

Day-2: How to use VScode (an IDE) for Python?

Learn VScode for python

Video - 1:01:41 mins

Day-3: Basics of Python Programming

Video - 1:03:46 mins

Python-101 Extended

Video - 1:55:14 mins

Python-101 Extended (Again)

Video - 1:55:14 mins

Python-101-Beyond functions

Video - 1:04:45 mins

Day-4: Data Visualization and Jupyter Notebooks

Data Visualization and Jupyter Notebooks

Video - 1:16:56 mins

Day-5: MarkDown language

Markdown Language Crash Course

Video - 1:11:23 mins

Day-6 to Day-9: Pandas Library

Pandas-Import Dataset and basics function

Video - 1:15:43 mins

Pandas-More Pandas Functions

Video - 11:31 mins

Pandas-Tips and Tricks (Part-1)

Video - 2:05:25 mins

Pandas-Tips and Tricks (Part-2)

Video - 1:19:44 mins

Day-10: Data Wrangling and Data Visualization

Data Wrangling and Data Visualization

Video - 1:25:46 mins

Day-11: Data Visualization in Python

Data Visualization (Part-1)

Video - 16:06 mins

Data Visualization (Part-2)

Video - 27:55 mins

Day-12,13: Exploratory Data Analysis (EDA)

Video - 1:17:20 mins

Video - 1:51:15 mins

Day-14: ABC of Statistics for Data Science

ABC of Statistics (Part-1)

Video - 34:23 mins

ABC of Statistics (Part-2)

Video - 1:01:44 mins

ABC of Statistics (Part-3)

Video - 59:08 mins

ABC of Statistics (Part-4)

Video - 58:53 mins

ABC of Statistics (Part-5)

Video - 1:04:16 mins

ABC of Statistics (Part-6)

Video - 1:00:38 mins

ABC of Statistics (Part-7)

Video - 58:20 mins

ABC of Statistics (Part-8)

Video - 56:12 mins

ABC of Statistics (Part-9)

Video - 1:13:54 mins

Day-15: Data Wrangling Techniques (Beginner to Pro)

Python Data Wrangling Techniques: From Beginner to Pro

Video - 1:59:34 mins

Day-16 to Day-25: Machine Learning

What is Machine Learning?

Video - 1:29:04 mins

Basics of Machine Learning

Video - 1:38:59 mins

Video - 1:06:06 mins

Video - 1:40:27 mins

Machine Learning with Scikit-learn in Python

Video - 23:33 mins

Hyperparameter Tuning with GridSearchCV

Video - 1:09:37 mins

Machine Learning Terminologies

Video - 50:34 mins

Machine Learning in another perspective

Video - 10:56 mins

Cross Validation

Video - 11:18 mins

Confusion Matrix

Video - 9:21 mins

Sensitivity vs. Specificity

Video - 6:55 mins

Video - 8:04 mins

Video - 19:13 mins

Linear Regression

Video - 13:55 mins

Multiple Linear Regression

Video - 7:16 mins

Logistic Regression

Video - 9:25 mins

Video - 19:11 mins

Maximum Likelihood

Video - 15:51 mins

R-square for Logistic Regression

Video - 7:11 mins

Ridge Regression

Video - 12:58 mins

Lasso Regression

Video - 4:41 mins

Elastic-Net Regression

Video - 4:56 mins

Principal Component Analysis (PCA)

Video - 17:54 mins

K-means Clustering

Video - 12:55 mins

How to save and use a trained ML Model?

Video - 34:31 mins

Practice on Machine Learning Real Projects

Day-26: How to use Conda Environments?

Conda Environments

Video - 54:41 mins

Day-27 to Day 35: Deep Learning with Tensorflow

Intro to Tensorflow

Video - 1:23:36 mins

Video - 20:34 mins

Intro to Computer Vision

Video - 1:09:59 mins

Image Classification with TensorFlow

Video - 40:36 mins

Activation Functions (Part-1)

Video - 42:04 mins

Activation Functions (Part-2)

Video - 1:15:30 mins

Project on Tensoflow

Video - 33:30 mins

How many Epochs should we use?

Video - 25:16 mins

Types of Neural Network

Video - 17:36 mins

Day-36: DashBoard and Web apps development for Data Science

Introduction to Streamlit

Video - 42:29 mins

My First Webapp

Video - 36:20 mins

Use plotly in DashBoards

Video - 12:21 mins

Animated Plots in Dashboard

Video - 2:17 mins

EDA Webapp Development

Video - 23:38 mins

Streamlit k Jugar

Video - 7:48 mins

ML Web App with Streamlit

Video - 19:27 mins

WebApp Deployment on Streamlit

Video - 8:47 mins

Add Media files to webapps

Video - 11:04 mins

Add Codes to your webapps

Video - 3:47 mins

Make Interactive Explainer DashBoard

Video - 7:00 mins

Embed code snippets into DashBoards

Video - 9:14 mins

Streamlit Project for Data Science (Part-1)

Video - 1:11:49 mins

Streamlit Project for Data Science (Part-2)

Video - 24:04 mins

Day-37: Time Series Analysis

Time Series Analysis (Part-1)

Video - 1:05:14 mins

Time Series Analysis (Part-2)

Video - 24:10 mins

Day-38: NLP (Natural Language Processing)

NLP and Text Classification project

Video - 34:14 mins

Video - 41:00 mins

Day-39: git and github

All about git and GitHub

Video - 47:40 mins

Day-40: Prompt Engineering (ChatGPT for Social Media Handling)

ChatGPT for Twitter and other Social Media Platforms

Video - 40:55 mins

Feed Back

FeedBack and Review on the course

Video - 00:00 mins

Announcements Reviews Live Classes Gradebook Certificate Course Info

Practice this lesson at least 3 times with me.