Forecasting Ethereum return quantiles using a handful of different statistical learning models and selecting the best based on out of sample error. Hopsworks feature store and model registry is used to automate the process. Ethereum quantile returns are predicted daily and displayed on a Streamlit dashboard.

This project aims to classify text messages as spam or ham (non-spam) using machine learning models

A machine learning project using python aiming to benefit the banking industry and reduce the hassle, pressure and workload and increase the efficiency and effectiveness of the process of issuing loans

Beta Machine Learning Toolkit

Predict the number of dengue fever cases reported weekly in San Juan, Puerto Rico, and Iquitos, Peru, using environmental data to aid in public health initiatives.

I had devloped Mashine learning project for minor that is Soil And Crop recomendation system

This repository contains all the projects that I have made.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Files relevant for my bachelor thesis on different automatic emotion recognition approaches

This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset

MetroPT-3 Anomaly Detection using Machine Learning and Deep Learning

An android application to classify 7 different types of skin cancers (images) built by integrating a CNN-RF ensemble Deep Learning model using Kotlin.

Machine Learning Algorithms in Fortran

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

This is a collection of all the machine learning techniques required in any machine learning project. It contains detailed descriptions, videos, book recommendations, and additional material to properly grasp all the concepts. It also contains implementations in various frameworks.

ABC random forests for model choice and parameter estimation, pure C++ implementation

🍊 📊 💡 Orange: Interactive data analysis

This repo contains exploratory data analysis and modeling code for employee churn prediction system.

Estimación de turbidez en el agua a la entrada de la planta de tratamiento de SAMEEP, utilizando los productos Sentinel-2 MSI L2A y aprendizaje automático.

Project of analysis for credit card transactions, e.g. predictions of overdue risk, clustering of customer value. Real financial data and different machine learning methods applied.