All About Data Science and ML Algorithms

This github repo contains everything about machine learning algorithm in the framework of data science with Python.

CONTENTS

• Datasets: All data sets that I use in applications are in this file.
  • Also, I store all the data sets I use in S3 service from Amazon Web Services (AWS) so that it doesn't take up too much disk space on my computer.
• ML-Linear Regression: This file contains the theory and application of all linear regression models from machine learning algorithms.
• ML-NonLinear Regression: This file contains the theory and application of all non-linear regression models from machine learning algorithms.
• ML-Classification: This file contains the theory and application of all classification models from machine learning algorithms.
• ML-Unsupervised Learning: This file contains the theory and application of all unsupervised learning models from machine learning algorithms.
• ML-Exercises: This file contains sample applications of all machine learning algorithms.
• ML-Python Codes: In this file, there are applications of ML algorithms in the form of python file extension.

APPLICATION STAGES

1. Examining and manipulating the dataset
2. Visualization
3. Modelling and testing the model
4. Conclusion