COURSE NAME
Machine Learning & Deep Learning Course
1. Machine Learning Course 
Python Basics
Conditionals, Loops and Functions
Lists and Dictionaries
2D Lists and Numpy
Pandas
Plotting Graphs
Introduction to ML
Linear Regression
MultiVariable Regression and Gradient Descent
Logistic Regression
Classification Measures
Decision Trees - 1
Decision Trees - 2
Feature Scaling
Random Forests
Naive Bayes
Project: Text Classification
KNN
SVM
PCA
PCA - 2
NLP - 1
NLP - 2
Git
Neural Networks - 1
Neural Networks - 2
Tensor Flow
Keras
CNN - 1
CNN - 2
RNN
LSTM
Unsupervised Learning - 1
Unsupervised Learning - 2
Git
Topics
Git Commits
Git Commits 2
Git Understanding Branches
Git Making Branches
Git Merging Branches
Git Conflicts in Branches
Git Understanding Workflows
Pushing to github.com
Github With a Team Member
Git - Multiple Teams - Forking
Completing with PR Open Source Contributions
