/MachineLearningCourse

In this repository i load the important code for the Machine Learning Course

Primary LanguageJupyter Notebook

MachineLearningCourse

This repository contains the exercises done on the Machine Learning Class

Supervised Machine Learning

Introduction to python and ML

  1. E1 - Data Science Overview
  2. E2 - Python Text Analysis

Linear Models

  1. E3 - Supervised vs Unsupervised Overview
  2. E4 - Linear Models

SVM & Decision Trees

  1. E5 - Decision Trees Overview
  2. E6 - SVM - Regularization
  3. E7 - Decision Trees

Machine Learning as a Service

  1. P1 - Survival Prediction API

Ensembles

  1. E8 - Best Ensemble Overview
  2. E9 - Bagging

Random Forest

  1. E10 - Random Forest Performance Review
  2. E11 - Random Forest

Feature Engineering

  1. E12 - Gradient Boosting Review
  2. E13 - Categorical Encoding

Project Presentations

Unbalanced Learning

  1. E14 - Unbalanced Learning Overview

Natural Language Processing

Natural Language Processing

  1. E15 - Fraud Detection 2- E16 - NLP Review
  2. P2 - NLP Movies Analysis API