Overview
This repository contains a collection of machine learning projects, organized into separate folders for each project. Each project includes code, data, and a brief explanation of the problem and approach used to solve it.

Project List

• Binary Classification project: I used Tensorflow to create and evaluate a binary classification model to predict wether houses in a neighborhood are above a certain price based on some features.
• First Neural Network: I trained my first neural network using tensorflow's sequential api to identify numbers from 0 to 9 using the mnist dataset.
• Google Crash Course Neural Network: I recreated the neural network project on google's ML Crash course and used linear regression to predict house prices.
• Support Vector Machines (Introduction): In this project I worked with the support vector machine classifier model on scikit-learn to train various classifiaction models with the different kernels available.
• Project HR: This project aims to predict the attrition of staff using machine learning techniques in Python.