The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.

A collection of TypeScript-based machine learning helpers.

Intrusion Detection System for MQTT Enabled IoT.

This repository provides topics in PyTorch which is used for Deep Learning

CERN Electron collision data- Invariant mass prediction

Prediction model for profit of 50 startups dataset by Multiple Linear Regression

In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.

Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.

Create a simple, univariate linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm.

This project provided practice with logistic regression and the cost functions MSE and log loss

Infidelity and Marital Satisfaction investigation using elastic net

Elastic net project

MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".

This repository contains a Jupyter Notebook that implements PCA (Principal Component Analysis) from scratch for facial recognition. It demonstrates the steps involved in PCA, including eigenface computation and accuracy comparisons for different components.

Using machine learning to discover the best location for Oily Giant to open their next well, based on reserve volume and profit

Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"

Linear Regression on Medical Insurance Dataset

Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects