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Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Rulediscovery ⭐ 14

Two algorithms based on linear programming to discover classification rules for interpretable learning.

Ml Algorithms From Scratch ⭐ 14

Here we have fully implemented a number of algorithms related to machine learning

scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library

Onelearn ⭐ 14

Online machine learning methods

Implementation Of Ml Algos In Python ⭐ 13

Implementing various machine learning algorithm from scratch

Machine_learning_trading_algorithm ⭐ 13

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Emotion Prediction With Quantum5 Neural Network Ai Machine Learning ⭐ 13

Emotion Prediction with Semi Supervised Learning of Machine Learning Software with RC Algorithm - By Emirhan BULUT Emotion-Prediction-with-Quantum5-Neural-Network-AI

Loan Web ⭐ 12

ML-powered Loan-Marketer Customer Filtering Engine

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

RF4PCC: Random Forest 4 Point Cloud Classification, 3DOM FBK

Flower Recognition ⭐ 12

Image recognition tool for flower clasification.

Microlia ⭐ 11

Gravitational microlensing classification engine using machine learning

Machine Unlearning for Random Forests

Nyc Taxi ⭐ 11

Predict NYC taxi travel times (Kaggle competition)

Hydromst ⭐ 11

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning

Oil_price ⭐ 11

Machine Learning to predict share prices in the Oil & Gas Industry

Email Spam Detection ⭐ 11

This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification

Document_classification ⭐ 10

Python code for classification of documents into different classes using machine learning

Dgaclassifier ⭐ 10

Identify synthetic domain names using Random Forrest Classifier

Landslides_detection ⭐ 10

Machine learning tool to detect landslides from optical satellite imagery

Disease Predictor ⭐ 10

A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Bestmobabot ⭐ 9

«Хроники Хаоса» – бот для VK.com

Malicious Macro Tester ⭐ 9

CLI tool for testing Office documents with macros using MaliciousMacroBot

Amazon Kinesis Analytics Realtime Anomaly Detection ⭐ 9

Sample for the German article "Anomalie-Erkennung für Echtzeit-Datenströme" by Constantin Gonzalez and Florian Mair published in Big Data Insider.

Eye-movement event detection using random forest

Home Credit Default Risk ⭐ 9

Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)

Cyberattack Detection ⭐ 8

Cyber Attack Detection thanks to Machine Learning Algorithms

Sklearn_pytorch ⭐ 8

Transposition in PyTorch to Sklearn models such as Random Forest or SVM

Code and data for "Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks"

The Math Of Intelligence ⭐ 8

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Data Science Projects ⭐ 8

{PySpark, R, Python}: Several Data Science projects

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

Flight Delay Predict ⭐ 7

北京交通大学小学期实训课设-航班延误预测系统

Multiechoai ⭐ 7

Myocardial Infarction Detection

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Prevision Python ⭐ 7

Prevision.io sdk

Emsemble Tradebot ⭐ 7

A data driven trade-bot, running on an ensemble of 3 different ML algorithms, generates buy/sell signals of a given asset and timeframe using technical indicators.

Predict Delinquency ⭐ 7

🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆

Twitter_sentiment_bert_scikit ⭐ 7

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类

Yelp Photo Classification ⭐ 7

Tinkering and Playing around!

Ml Nba Transfer Suggestion App ⭐ 7

Create you ML application to. predict the next best NBA transaction, using data from NBA API.

Artificiallife ⭐ 7

A Reinforcement Learning Simulation of Animal Behaviour Using Either Random Forest or Deep Neural Networks in TensorFlow

Stock Forecasting ⭐ 6

Python repository that uses time-series data from the S&P 500 to train a RandomForestClassifier to predict the probability of a stock price increasing or decreasing. This script is meant for educational purposes only - this is not financial advice. Consult with your financial adviser before making any investments.

Predicting Paid Amount For Claims Data ⭐ 6

Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information System). The dataset contains Commercial Insurance claims, and a small fraction of Medicaid and Medicare payments for dually eligible people. The primary purpose of this assignment is to test machine learning (ML) skills in a real case analysis setting. You are expected to clean and process data and then apply various ML techniques like Linear and no linear models

Eco Fertilization ⭐ 6

Final year project based on Machine Learning

Plot tree based machine learning models

Wikipedia_analysis ⭐ 6

Different techniques to measure the quality of Wikipedia

Step Detection Using Machine Learning ⭐ 6

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

Path Planning ⭐ 6

Two path-planning algorithms for finding paths in a known environment - RRT(Randomly Exploring Random Forest) and Vertical Cell Decomposition

Prediciting Hits On Spotify ⭐ 6

Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning

Disaster_response_pipeline ⭐ 6

Web aplication that use machine learning to classify any message about enviroment disaster

Housing Rent Prediction ⭐ 6

End to End Machine Learning Project along with deployment.

Flask Wine Quality ⭐ 6

Machine Learning classification problem displayed with Flask Application

Facebook Metrics Prediction ⭐ 6

Analysis and Modeling of the UCI Facebook Metrics Dataset

Hft Price Prediction ⭐ 6

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

Churn Prediction ⭐ 6

This is a churn prediction analysis of the Streamago app

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Risk_calculation_using_backward_elimination_algorithm_in_life_insurance ⭐ 6

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Creditanalytics Loan Prediction ⭐ 6

A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

Dynamicpricing ⭐ 6

This is the best merchant of all time

Clinical machine-learning based interpreter of germline mutations.

Loan Default Prediction ⭐ 6

Capstone Project: Predicting default in P2P lending

Puextratrees ⭐ 6

uPU, nnPU and PN learning with Extra Trees classifier.

Healthytrees ⭐ 6

🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016

Porto Seguro Safe Driver Prediction ⭐ 6

Predict if a driver will file an insurance claim next year. (Kaggle Competition)

Enron_fraud ⭐ 6

Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.

Hybrid Recommender System ⭐ 6

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

Fantasy Sports Prediction ⭐ 5

this is the repository for the project dream11. We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcmming matches using ML Algorithms

Randomforestpruning Ismm 2017 ⭐ 5

Cost-complexity pruning of random forests

Pump It Up Data Mining The Water Table ⭐ 5

Predict pump is working or not

Random Forest ⭐ 5

Stock Price Prediction using Random Forest

Large Scale Text Classification ⭐ 5

Large Scale benchmarking of state of the art text vectorizers

Data Science Portfolio ⭐ 5

Portfolio of data science projects completed by me for self learning.Looking for job opportunity.

Human Activity Recognition Smartphone Sensors ⭐ 5

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

Predicting Harddrive Failures Using Ml ⭐ 5

Predicting Hard Drive failure using SMART Metrics

Live Facial Recognition ⭐ 5

Live Facial Recognition

Deep_health ⭐ 5

Exploring dataset on medical information on diabetic patients

Deep Neural Decision Forests ⭐ 5

A model combining Deep Neural Networks and (Stochastic) Random Forests.

Syndrome_prediction ⭐ 5

Syndrome Prediction Helps to predict the disease through analysing group of symptoms

Recommended Bets By Email Mlb ⭐ 5

An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.

Nested Bigrams ⭐ 5

A repository containing the source code, datasets, and ranked features for the Nested Bigrams method proposed in a paper published in ICDMW. This method is designed for authorship attribution in source code to address cybersecurity issues.

Predict Which Customers A Call Center Should Contact ⭐ 5

Predict which customers should a call-center call for greater assertiveness in a sale

Bank Marketing ⭐ 5

A Data-Driven Approach to Predict the Success of Bank Telemarketing

Ml_from_scratch ⭐ 5

ML Algorithms from Scratch

Pylearning ⭐ 5

Simple high-level machine-learning library in Python

Malware Analysis ⭐ 5

using Drebin dataset to distinguish between malwares and not malwares

Federated_survival_forests ⭐ 5

Federated Learning with Random Survival Forests.

Gameratingspredictor ⭐ 5

Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).

Machine Learning In Python ⭐ 5

My learnings on different algorithms of Machine Learning with Python .

Project_floodlight ⭐ 5

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine le

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