This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

Machine Learning, EDA, Classification tasks, Regression tasks for customer churn

Machine Learning, EDA, Binary Classification task weather dataset, ANN, SVM, LR

A user-friendly desktop application that utilizes a logistic regression model to predict the probability of a user having diabetes based on their inputted information.

Machine Learning Tutorial

We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.

This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.

This project presents a powerful Web Application Firewall (WAF) designed to protects web applications from malicious activities. By leveraging machine learning algorithms, the WAF efficiently filters and detects potentially harmful requests before they reach the website, ensuring robust security.

Explore model selection in credit card transaction analysis with Reza Mousavi's Git project. Addressing class imbalance, it employs undersampling and features tree-based models, SVM, and logistic regression for effective fraud detection

AI Machine learning Deep learning Projects with code

Projects for the Intelligent Systems course

📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.

This repository contains work that has been done on various concepts of Python like linear regression, logistic regression, decision tree, Random forest, KNN, and K-means algorithm

It is a Repo that contain different type of Machine Learning Algorithm like Regression ,classification and clustering that will be added soon

This project aims to detect fraudulent transactions in a dataset using machine learning models like Logistic Regression and Decision Tree. The dataset is highly imbalanced, and techniques like SMOTE are used to balance it.

This repository contains code and analysis for detecting cancer using various machine learning algorithms. We compare the performance of logistic regression, decision tree, and random forest models.

IBM Data Science Capstone Project from Coursera

A ML project to predict sales for Black Friday.

This repository provides essential tools and metrics for evaluating binary classification models, aiding researchers and data scientists in their model assessment

🎓 Collection of academic resources, projects, and exercises related to artificial intelligence concepts learned in university coursework.