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

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

PyTorch implementations of the beta divergence loss.

Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin

CERN Electron collision data- Invariant mass prediction

What Happens if We Use a Mean Squared Error Loss for Binary Classification?

This project used various machine learning algorithms to predict rainfall.

Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)

All things around ... Regression

A collection of TypeScript-based machine learning helpers.

Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.

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.

A small code for understanding linear regression.

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

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

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.

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

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

Intrusion Detection System for MQTT Enabled IoT.

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