Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

Machine learning fundamentals

A Deep Learning based Fashion Recommendation System using the ResNET50

This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.

No description provided.

Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark

🚀 Complete ML Project: Salary Prediction using Linear Regression & Streamlit. 95.6% accuracy, interactive web interface, clean dataset, pre-trained model. Perfect for learning ML, web development, and practical HR applications.

Machine Learning and Deep Learning Tutorial

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.

Building a Machine Learning Library from scratch using Python3, based on SOTA library Scikit-learn

Free High-Quality Financial Data in Azure

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

My Python learning experience 📚🖥📳📴💻🖱✏

Machine Learning Projects in Python. Examples of popular machine learning algorithms with interactive Jupyter code explained

Custom classifiers to detect sexist language.

Improve access to healthcare services and reduce costs.

We use our customer geolocation data to perform a clustering algorithm to get several clusters in which the member data of each cluster are closest to each other using KMeans and Constrained-KMeans Algorithms.

A shoe👟 recommendation website.

Machine Learning Project

No description provided.

This is the framework for supervised algorithms in mechine learning

The House Price Prediction System is a comprehensive project aimed at predicting housing prices based on various attributes using advanced data analysis and machine learning techniques.

This is a python Flask web app made to predict the house prices based on attributes like no. of rooms, parking facility, etc. The prediction algorithm used at the backend is 'Linear Regression'.

Repositorio del Training realizado por Factored. "Aprender como entrenar y desplegar modelos de ML" 📈🐍

LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 17

This repo attempts to utilise two powerful ensemble models, Random forest and Gradient Boosting to Predict the failure patterns of wind energy machinery

Model bank customers behaviour. Publish findings on an online dashboard.

Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.

A self-hosted ML platform — upload datasets, train models, test them, and monitor everything from a Grafana-style dashboard.

A Spam Detector Project