Week 1
Python Fundamentals
Week 2
Python ML Libraries
1. Numpy
2. Pandas
3. Matplotlib
4. Scikit learn
Week 3
1. Intro to ML AI
— Classification vs Regression
— Supervised vs Unsupervised Learning
2. Introduction to Tensorflow
Week 4
ML Algorithms
— Linear Regression
— Logistic Regression
— SVM
Week 5
Introduction to NN
— Neuron
— N-layer NN
— Image classification using NN (Project)
Week 6
1. Fitting the model
— Over fitting
— Underfitting
2. Data Processing and Cleaning
Week 7
Resources
— NN and Deep Learning
— A lot of resources
Conclusion
Week 8
Final Project