Used Random Forest Classifier Algorithm

Similarity based email sorting for Google Mail using RandomForest classifiers

Comparision of classifiers

Football Match Predictor for top leagues

This Python project analyzes public sentiment on social media (like Twitter) towards cryptocurrencies and it leverages Support Vector Machines (SVM) for sentiment classification.

Performing comparative sentiment analysis to determine public reaction on newly introduced Farm Laws of 2020, India by collecting data using Twitter Tweepy API

The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.

Kaggle Titanic ML competition. Top 2% score.

Classificação de movimentos usando ML

Streamlit app that predicts stroke using health data based on random forest classification

This project implements a stock price prediction model using various technical indicators and an ensemble of machine learning algorithms. The model predicts the direction of price movements and provides price predictions with uncertainty bounds for the next 8 hours.

Modèle pour la prédiction des maladies chez les pastèques : Combinaison de Big Data et de Machine Learning"

This repository contains files from a client project aimed at developing a Streamlit app for predicting sentiment in Spotify reviews in Indonesian and English.

Enhancing Patient Care through AI-Driven Disease Prediction

Ce projet est une proposition de solution au Rakuten Data Challenge. L'objectif est de mettre en œuvre différentes méthodes de Machine Learning et Deep Learning pour résoudre le problème.

This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.

This project aims to predict mental health conditions based on sentiment analysis of textual data. It utilizes two machine learning algorithms: the Naive Bayes classifier and the Random Forest classifier.

Machine learning library for classification tasks

BS 444 - Introduction to Machine Learning

Predict stock prices with an intuitive web app. Easy-to-use interface, accurate predictions.