Machine Learning Specialization

Contains Solutions and Notes for the Machine Learning Specialization By Andrew NG on Coursera

C1 - Supervised Machine Learning : Regression and Classification

• Week 1 Introduction to Machine Learning

  • Practice quiz: Regression
  • Practice quiz: Supervised vs unsupervised learning
  • Practice quiz: Train the model with gradient descent
  • Optional Labs
    • Brief Introduction to Python and Jupyter Notebooks
    • Model Representation
    • Cost Function
    • Gradient Descent

• Week 2 Regression with Multiple Input Variables

  • Practice quiz: Gradient descent in practice
  • Practice quiz: Multiple linear regression
  • Optional Labs
    • Numpy Vectorization
    • Multi Variate Regression
    • Feature Scaling
    • Feature Engineering
    • Sklearn Gradient Descent
  • Programming Assignment - Graded Lab
    • Linear Regression

• Week 3 Classification

  • Practice quiz: Classification with Logistic Regression
  • Practice quiz: Cost Function for Logistic Regression
  • Practice quiz: Gradient Descent for Logistic Regression
  • Practice quiz: The Problem of Overfitting
  • Optional Labs
    • Classification
    • Logistic Regression
    • Decision Boundry
    • Logistic Loss
    • Cost Function for Logistic Regression
    • Gradient Descent for Logistic Regression
    • Logistic Regression using Scikit-Learn
    • Overfitting
    • Regularized Cost and Gradient
  • Programming Assignment - Graded Lab
    • Logistic Regression

C2 - Advanced Learning Algorithms

• Week 1 Neural Networks

  • Practice quiz: Neural Network Implementation in Python
  • Practice quiz: Neural Network Intuition
  • Practice quiz: Neural Network Model
  • Practice quiz: Tensorflow Implementation
  • Optional Labs
    • Neurons and Layers
    • Simple Neural Network
    • Simple Neural Network Numpy
  • Programming Assignment - Graded Lab
    • Neural Networks for Handwritten Digit Recognition, Binary

• Week 2 Neural Networks Training

  • Practice quiz: Activation Functions
  • Practice quiz: Additional Neural Network Concepts
  • Practice quiz: Multiclass Classification
  • Practice quiz: Neural Network Training
  • Optional Labs
    • Multi-class Classification
    • ReLU activation
    • Softmax Function
  • Programming Assignment - Graded Lab
    • Neural Networks for Handwritten Digit Recognition, Multiclass

• Week 3 Advice for Applying Machine Learning

  • Practice quiz: Advice for Applying Machine Learning

  • Practice quiz: Bias and Variance

  • Practice quiz: Machine Learning Development Process

  • Programming Assignment - Graded Lab

    • Advice for Applying Machine Learning

• Week 4 Decision Trees

  • Practice quiz: Decision Tree Learning

  • Practice quiz: Decision Trees

  • Practice quiz: Tree Ensembles

  • Programming Assignment - Graded Lab

    • Decision Trees

C3 - Unsupervised Learning, Recommenders, Reinforcement Learning

• Week 1 Unsupervised Learning

  • Practice quiz: Clustering

  • Practice quiz: Anomaly Detection

  • Programming Assignment - Graded Lab

    • K-means Clustering
    • Anomaly Detection

• Week 2 Recommender Systems

  • Practice quiz: Collaborative Filtering
  • Practice quiz: Content Based Filtering
  • Practice quiz: Recommender Systems Implementation
  • Optional Labs
    • An example on Exploratory Data Analysis
  • Programming Assignment - Graded Lab
    • Collaborative Filtering Recommender Systems
    • Deep Learning for Content-Based Filtering

• Week 3 Reinforcement Learning

  • Practice quiz: Reinforcement Learning Introduction
  • Practice quiz: State-Action Value Function
  • Practice quiz: Continuous State Spaces
  • Optional Labs
    • State Action Value Function Example
  • Programming Assignment - Graded Lab
    • Deep Q-Learning - Lunar Lander