1. How to do PCA Dimensionality Reduction

2. Implement PCA in python

3. How to do TSNE Dimensionality Reduction

4. Implement TSNE on a Kaggle dataset

5. What is K-Means Clustering

6. Solve a Kaggle Competition using k-Means

7. What is hierarchical Clustering

8.Implement hierarchical clustering on a Kaggle dataset

Self Paced Videos and Slides

Module 1 - Introduction to Data Science
Module 2 - Introduction to Python
Module 3 - Pandas
Module 4 - Merging Data Frames with Pandas

Module 5 - Introduction to Data Visualisation Using Matplotlib
https://t.me/c/1454674396/8
Part- 1,2,3,4

Module 6 - Data Visualization with Seaborn
https://t.me/c/1454674396/61
Part - 1,2

Module 7 - Descriptive Statistics with Python
https://t.me/c/1454674396/106

Module 8 - Inferential Statistics with Python
https://t.me/c/1454674396/129

Module 9 - Feature Engineering
https://t.me/c/1454674396/155
Part- 1,2,3,4

Module 9.5 - Exploratory Data Analysis

Module 10 - Machine Learning for Everyone
https://t.me/Machine_Learning_Deep_Learning/225

Module 11 - Supervised Learning with scikit-learn
https://t.me/Machine_Learning_Deep_Learning/241
Part - 1,2,3,4

Module 12 - Machine Learning with Tree-Based Models in Python
https://t.me/Machine_Learning_Deep_Learning/347

Module 12.5 - Extreme Gradient Boosting with XGBoost
(No videos. Only ecercise)

Module 13 - Dimensionality Reduction and Unsupervised Learning
https://t.me/Machine_Learning_Deep_Learning/361

Module 14 - Machine Learning for Time Series Data
(No videos. Only exercise)

Uploaded All the videos of the course💐

I found this website. if you want to learn python. it's good. Project based learning. (Supported by Pycham)