Machine Learning Course on Coursera
Master Machine Learning, and Break into AI
Instructor: Andrew Ng
Introduction
This repo contains all my work for this course.
All the MATLAB based assignments, and Advanced Version of assignments with Tensorflow and Notebook !
Programming Assignments
(Basic)MATLAB, Octave Version
- Week 2 - Linear Regression with a Neural Network mindset
- Week 3 - Logistic Regression with a Neural Network mindset
- Week 4 - Neural Network Representation and Multi-class Classification
- Week 5 - Neural Network Learning with Forward Prop and Back Prop
- Week 6 - Concepts of Bias/Variance, Applying Proper Solution
- Week 7 - What is a Support Vector Machine?
- Week 8 - K-means Clustering and PCA
- Week 9 - Anomaly Detection and Recommender System
(Advanced)Python, Tensorflow Version
Milestones
- 2017-11-12: First Commit ! ✌🏻
- 2017-11-19: WEEK 2,3 Assignments are Uploaded.
- 2017-11-26: WEEK 4 Assignments are Uploaded.
- 2017-12-03: WEEK 5 Assignments are Uploaded.
- 2017-12-09: WEEK 6 Assignments are Uploaded.
- 2018-01-12: WEEK 7 Assignments are Uploaded.
- 2018-01-16: WEEK 8 Assignments are Uploaded. tensorFlow implementations are ongoing
- 2018-01-26: WEEK 9 Assignments are Uploaded.