My Machine Learning Projects

Using Logistic Regression

This repository contains machine learning projects focused on various prediction tasks using simple regression and classification techniques. Each project includes the dataset, a Jupyter notebook with the analysis and model implementation.

Projects

1. Titanic Survival Prediction

   • Description: This project uses a dataset of Titanic passengers to predict whether a person can survive or not based on various factors.

2. Click on Advertisement Prediction

   • Description: This project uses the Fake advertising dataset to predict the whether a person clicks on advertisement or not based on its features.

3. Pima Indians Diabetes Dataset

   • Description: This project uses the Pima Indians Diabetes Dataset dataset to predict the whether a person have diabetes or not based on its features.

Getting Started

To run the projects locally, clone the repository and navigate to the respective project folder. Open the Jupyter notebook (.ipynb file) to see the analysis and model implementation.

git clone https://github.com/Danishyousuf19/Simple-Linear-Regression.git