Python for Data Science

Duration: 2 Months

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