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Machine Learning Specialization

This repository contains all projects & assignments associated with the completion of the Machine Learning Specialization offered by Stanford and DeepLearning.AI.

For more information about the specialization, visit the Coursera course page.

Contents

  • Course 1: Supervised Machine Learning: Regression and Classification
    • Project 1: Linear Regression
    • Project 2: Logistic Regression
  • Course 2: Advanced Learning Algorithms
    • Project 1: Handwritten Digit Recognition (0 and 1)
    • Project 2: Handwritten Digit Recognition (0-9)
    • Project 3: Evaluating & Improving Machine Learning Models
    • Project 4: Implementing Decision Trees
  • Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning
    • Project 1: K-Means Clustering
    • Project 2: Recommender System Using Collaborative Filtering
    • Project 3: Recommender System Using Neural Networks
    • Project 4: Lunar Lander: Q-Learning & Reinforcement Systems

How to Use

  1. Clone the repository:
    git clone https://github.com/BrendanCook44/Machine-Learning-Specialization

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Contains all of the assignments & projects taken for the Machine Learning Specialization offered by Stanford & DeepLearning.AI.

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