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