This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Case Studies and Projects in Machine Learning/EDA/DL

Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling

This project helps to make prediction of fake news by developing a machine learning model using the logistic regression algorithm. The project provides a reliable solution to identify and predict the authenticity of news articles, helping users distinguish between real and fake news sources.

A Machine Learning Workshop for HackCU III

Classifying Breast Cancer Tumors

Predictive model that divides the customers into groups based on common characteristics so companies can market to each group effectively and appropriately

Predicting the volcanic eruption using ML Algorithms.

This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.

Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.

Using Logistic Regression to predict whether or not a given star will have an Exoplanet in orbit, using data from HYG3 and the open exoplanet archive.

Embark on a journey of data-driven insights with our diabetes research project. Leveraging Python's pandas, matplotlib, and scikit-learn, we preprocess, visualize, and analyze 330 health features. Employing logistic regression, decision trees, KNN, and SVM, we predict diabetes with precision.

Telecom Churn prediction with multiple machine learning models

Code store for custom implementation of some machine learning algorithms from scratch.

Why do employees leave? This project first compares the predictive performance of three different models, then uses the best model to help reveal the top contributing factors.

ML classifier using computer vision to classify photos of dogs, frogs, and hogs.

Final Project - In Vehicle Coupon Recommendation

Employed RStudio and data from the World Values Survey to develop regression models.

Supervised Learning