Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Learning to create Machine Learning Algorithms

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

A machine learning project that predicts results of a football match

Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Detect the onset of possible risk of Parkinson's disease with the help of clinical data using Machine Learning Models.

Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.

An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming

#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity

URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval

Recognition of Persomnality Types from Facebook status using Machine Learning

Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)

This is a Malware Detection ML model made using Random Forest Algorithm

IDS Alert Prioritization INSuRE Research Project

A simple machine learning model for small-molecule target prediction in Python.

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.