Machine Learning December 17 Batch Pitampura

Class 01:- Introduction to Machine Learning
Class 02:- Statistical Computation with Python, Working with OpenCV
Class 03:- Review of Linear Algebra
Class 04:- K-Nearest Neighbors Algorithm
Class 05:- K-Means Clustering
Class 06:- Decision Trees and Random Forests
Class 07:- Principal Component Analysis
Class 08:- Linear Regression
Class 09:- Logisitic Regression
Class 10:- Intro to Neural Nets - Intuition, MLP, Starting with Keras
Class 11:- Backpropogation, Simple AutoEncoder