My study notebooks repository

This repo contains several notebooks I created or adapted during various activities in my Machine Learning Courses.

• Alura
  1. Linear Regression Example
  2. Introduction to Machine Learning - Basic Concepts
  3. Pig or Dog - Classification Example
  4. Linear Support Vector Machine Example
  5. Predicting used cars price to support sales
  6. Decision Tree Example
  7. Movie Recommendation Example
  8. Website Traffic Data Analysis
• IGTI
  1. Dataset Preprocessing and Feature Engineering example 1
  2. Dataset Preprocessing and Feature Engineering example 2
• tinyML edX
  1. Basic Linear Regression and Loss Funciont Example
  2. Solve Linear Regression from eg.1 with Sequential Network
  3. Convolutions and pooling to extract image features
  4. Image convolution, filters and pooling using MNIST Dataset
• Udacity
  1. Object Oriented Programming 1 - Basic OOP, Class Creations, Methods, Functions, Unit Tests
  2. Object Oriented Programming 2 - Basic Classes
  3. Object Oriented Programming 3 - Class Inheritance
  4. Object Oriented Programming 4 - Gaussian class code, importing libraries, dependencies