Machine-Learning-and-Data-Science

This repository contains Machine Learning and Data Science exercises and projects created using Jypter Notebooks and Google Colab Notebooks.

Exercises

The exercises are done with the following tools:

• NumPy
• Pandas
• Matplotlib
• Scikit-Learn

Projects

There are three projects included, which made with all the tools that were used in the exercises:

• Heart Disease Classification

  • Made With: Jupyter Notebook
  • Description: This project uses logistic regression to predict the susceptiblility of a patient to heart disease based on the symptoms that are shown.
  • Dataset: Kaggle

• Bluebook for Bulldozers

  • Made With: Jupyter Notebook
  • Description: This project learn from time series data to predict the prices of various bulldozers with regression.
  • Dataset: Kaggle

• Dog Vision:

  • Made With: Google Colab
  • Description: This project uses transfer learning to identify the breed of a dog from a given picture.
  • Dataset: UCl