Programming assignments and quizzes from all courses in the Coursera Machine Learning specialization offered by deeplearning.ai.

• C1 W2 Linear Regression
• C1 W3 Logistic Regression

• C2 W1 Neural Networks for Handwritten Digit Recognition, Binary
• C2 W2 Neural Networks for Handwritten Digit Recognition, Multiclass
• C2 W3 Advice for Applying Machine Learning
• C2 W4 Decision Trees

• C3 W1 k-means
• C3 W1 Anomaly Detection
• C3 W2 Collaborative Filtering Recommender Systems
• C3 W2 Deep Learning for Content based filtering
• C3 W3 Deep Q Learning Lunar Lander

• Week 1 - Regression Text
• Week 1 - Train the model with gradient descent Text | PDF
• Week 2 - Gradient Descent in practice Text
• Week 2 - Multiple Linear Regression Text
• Week 3 - Cost Function for Logisitic Regression Text | PDF
• Week 3 - The Problem of Overfitting Text | PDF
• Week 3 - Classification with Logistic Regression Text | PDF
• Week 3 - Gradient Descent for Logistic Regression Text | PDF

• Week 1 - Neural Network Intuition Text | PDF
• Week 1 - Neural Network Implementation in Python Text | PDF
• Week 1 - Neural Network Model Text
• Week 1 - Tensorflow Implementation Text | PDF
• Week 2 - Multiclass Classification Text
• Week 2 - Activation Functions Text
• Week 2 - Additional Neural Network Concepts Text
• Week 2 - Neural Network Training Text | PDF
• Week 3 - Advice for applying machine learning Text
• Week 3 - Bias and Variance Text
• Week 3 - Machine Learning Development Process Text
• Week 4 - Decision Trees Text | PDF
• Week 4 - Decision Tree Learning Text | PDF
• Week 4 - Tree Ensembles Text | PDF