Predict your Medical insurance cost!

A repository for a machine learning project about developing a hybrid movie recommender system.

A machine learning project to predict NCAA Men's Basketball outcomes

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

A Unified Framework for Random Forest Prediction Error Estimation

Web App and Random Forest - Loan Approval Prediction

Recursive Partitioning for Structural Equation Models

Lung Cancer Prediction using Machine Learning Algorithms

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).

Fraud detection using lgb, catboost, rf, etc

CLI tool for testing Office documents with macros using MaliciousMacroBot

Plot tree based machine learning models

PUBG- PlayerUnknown's BattleGrounds (PUBG)

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

Stock Price Prediction using Random Forest

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

Apache Spark machine learning project using pyspark

Analytics Vidhya Hackathon

TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.

Prediction of Customer Churn using Spark Mllib

Kaggle Competition: Backpack Price Prediction. Built ML models (Linear/Ridge Regression, XGBoost, etc.) with EDA, feature engineering, and MAE evaluation (best ~39.18). Includes notebooks for data preprocessing, model training, and insights. Great for learning regression techniques and Kaggle workflows

Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).

Random Forest algorithm

A predictive model that leverages classification models such as Random Forest and Naive Bayes to predict customer churn

This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).

Welcome to the Machine Learning Algorithms Implementation repository! This repository focuses on practical implementations of various regression algorithms using Python

Classification of various products into different categories is a very important task. Doing this classification, one can get various types of insights about the specific product. This also helps in doing product matching when you try and search a product on a eCommerce site.

Detecting phishing website using machine learning