Machine Learning Specialization Coursera

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

Course 1 : Supervised Machine Learning: Regression and Classification

• Week 1

  • Practice quiz: Regression
  • Practice quiz: Supervised vs unsupervised learning
  • Practice quiz: Train the model with gradient descent
  • Optional Labs
    • Model Representation
    • Cost Function
    • Gradient Descent

• Week 2

  • 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
    • Sklearn Normal Method
  • Programming Assignment
    • Linear Regression

• Week 3

  • Practice quiz: Cost function for logistic regression
  • Practice quiz: Gradient descent for logistic regression
  • Optional Labs
    • Classification
    • Sigmoid Function
    • Decision Boundary
    • Logistic Loss
    • Cost Function
    • Gradient Descent
    • Scikit Learn - Logistic Regression
    • Overfitting
    • Regularization
  • Programming Assignment
    • Logistic Regression

Certificate Of Completion

Course 2 : Advanced Learning Algorithms

• Week 1

  • Practice quiz: Neural networks intuition
  • Practice quiz: Neural network model
  • Practice quiz: TensorFlow implementation
  • Practice quiz : Neural Networks Implementation in Numpy
  • Optional Labs
    • Neurons and Layers
    • Coffee Roasting
    • Coffee Roasting Using Numpy
  • Programming Assignment
    • Neural Networks for Binary Classification
  
  

• Week 2

  • Practice quiz : Neural Networks Training
  • Practice quiz : Activation Functions
  • Practice quiz : Multiclass Classification
  • Practice quiz : Additional Neural Networks Concepts
  • Optional Labs
    • RElu
    • Softmax
    • Multiclass Classification
  • Programming Assignment
    • Neural Networks For Handwritten Digit Recognition - Multiclass

• Week 3
  • Practice quiz : Advice for Applying Machine Learning
  • Practice quiz : Bias and Variance
  • Practice quiz : Machine Learning Development Process
  • Programming Assignment
    • Advice for Applied Machine Learning

• Week 4
  • Practice quiz : Decision Trees
  • Practice quiz : Decision Trees Learning
  • Practice quiz : Decision Trees Ensembles
  • Programming Assignment
    • Decision Trees

Certificate of Completion

Course 3 : Unsupervised Learning, Recommenders, Reinforcement Learning

• Week 1
  • Practice quiz : Clustering
  • Practice quiz : Anomaly Detection
  • Programming Assignments
    • K means
    • Anomaly Detection

• Week 2
  • Practice Quiz : Collaborative Filtering
  • Practice Quiz : Recommender systems implementation
  • Practice Quiz : Content-based filtering
  • Programming Assignments
    • Collaborative Filtering RecSys
    • RecSys using Neural Networks

• Week 3