Coursera-Machine-Learning-Specialization
Coursera-Machine-Learning-Specialization
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Coursera-Machine-Learning-Specialization
Course 1 :
Supervised Machine Learning: Regression and Classification
Certificate Of Completion
Week 1
Optional Labs
Model Representation
Cost Function
Gradient Descent
Week 2
Optional Labs
Numpy Vectorization
Multiple Variable Linear Regression
Feature scaling and Learning Rate (Multi-variable)
Feature Engineering and Polynomial Regression
Linear Regression using Scikit-Learn
Programming Assignment
Week 3
Optional Labs
Classification
Sigmoid or Logistic Function
Decision Boundary
Logistic Loss
Cost Function
Gradient Descent
Logistic Regression using Scikit-Learn
Overfitting
Regularization
Programming Assignment
Course 2 :
Advanced Learning Algorithms
Certificate Of Completion
Week 1
Optional Labs
Neurons and Layers
Coffee Roasting in Tensorflow
CoffeeRoasting NumPy
Programming Assignment
Week 2
Optional Labs
ReLU activation
Softmax Function
Multi-class Classification
Derivatives
Back propagation using a computation graph
Programming Assignment
Week 3
Optional Labs
Model Evaluation and Selection
Diagnosing Bias and Variance
Programming Assignment
Week 4
Optional Labs
Decision Trees
Trees Ensemble
Programming Assignment
Course 3 :
Unsupervised Learning, Recommenders, Reinforcement Learning
Certificate Of Completion
Week 1
Programming Assignment
k-means
Anomaly Detection
Week 2
Optional Labs
PCA
Programming Assignments
Collaborative Filtering
Content Based Filtering
Week 3
Optional Labs
Q-function
Programming Assignment
Deep Q-Learning
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