Introduction to Machine Learning

This repository contains material related to [Introduction to Machine Learning](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip) Course by [Code Heroku](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip).

Course Objectives

• Introduce you to fundamentals of Machine Learning
• Serve as a launch pad for your career in Machine Learning and Data science

Who is the target audience?

• This course is for beginners with a none to a small amount of Machine Learning experience.

Tutorials

The tutorials lead you through implementing various algorithms in machine learning. All of the code is written in Python.

Introduction and getting started

• [Introduction to machine learning](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  A brief introduction on the fundamentals of machine learning.

• [Setup Python](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  A guide for installing Python on your system.

• [Scikit-Learn and other libraries installation](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  A guide for installing Scikit-Learn and other libraries required for this course.

• [Python Numpy Tutorial](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  A brief walkthrough on Python, Numpy, Scipy and Matplotlib

Supervised Machine Learning

• [Linear Regression using Scikit-Learn](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  Implement linear regression to predict score of a student based on the number of hours he studies.

• [Naive Bayes using Scikit Learn](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  Implement Naive Bayes algorithm to solve classification problems using Scikit Learn.

• [Building a Movie Recommendation Engine](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20a%20Movie%20Recommendation%20Engine)

  Build a Movie Recommendation Engine in Python using Scikit Learn.

• [Understanding Gradient Descent Optimization](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20descent)

  Learn how to use Gradient Descent optimization for solving Machine Learning problems.

Unsupervised Learning

• [Building a Digit Recognizer using SVM](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20a%20Digit%20Recognizer)

  Learn how to use Support Vector Machine (SVM) classifier for building a digit recognition system.

• [Introduction to Unsupervised Learning using K-means](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20Means)

  Learn how to use K-Means clustering algorithm for Machine Learning problems.

• [Principal Component Analysis (PCA)](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip)

  Learn how to perform PCA for achieving dimensionality reduction.

• [Face Recognition using PCA](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20Recognition%20Using%20PCA)

  Learn how to implement a Face Recognition System in Python using PCA.

Reinforcement Learning

• [Inroduction to Reinforcement Learning](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20Learning/RL1%20Multiarm%20Bandit)

  An introduction on how to implement Reinforcement Learning algorithms and solve the Multi Arm Bandit problem using it.

• [Reinforcement Learning with OpenAI Gym](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20Learning/RL2%20Value%20Iteration)

  Learn how to use OpenAI Gym in order to solve Reinforcement Learning problems.

• [Build an Intelligent Agent with Q-Learning](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20Learning/RL3%20QLearning)

  Learn how to use Q-Learning in order to build an intelligent agent.

Course Projects

The following projects are included as a part of this course.

• Ham or Spam Email Classification

  Build a spam classifier system.

• Student Exam Score Prediction

  Predict the score obtained by a student in the examination based on how many hours he has studied.

• [Movie Recommendation Engine](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip%20a%20Movie%20Recommendation%20Engine)

  Build a movie recommendation system using Scikit Learn.

• Cartpole Balancing with Q-learning

  Build a system to balance a cartpole using Q-Learning.

• Object Recognition with Neural Networks

  Build a system to recognize objects using Neural Networks.

• Mouse Cat Maze with Reinforcement Learning

  Use Reinforcement Learning to solve Mouse Cat Maze.

Want to learn more?

Come learn with us in the [Introduction to Machine Learning](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip "Introduction to Machine Learning") course at [Code Heroku](https://github.com/bg-grira53/Introduction-to-Machine-Learning/raw/refs/heads/master/Reinforcement Learning/RL3 QLearning/completed/to-Machine-Introduction-Learning-3.9.zip) !

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