Flower: A Friendly Federated Learning Framework

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Pandas, Sci-kit, SparkML

Data Mining Cup 2022 competition by Prudsys AG. Finished 16th of 78.

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

This project aims to understand and predict a car's fuel efficiency based on its characteristics. I have built a multiple linear regression model using stats models and scikit-learn.

Automated Machine Learning on Kubernetes

Fit interpretable models. Explain blackbox machine learning.

A unified framework for machine learning with time series

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Pre Estimating Ticket Rates Using SciKit-Learn

A disease prediction model uses medical data to analyze patterns, risk factors, and symptoms to forecast the likelihood of an individual developing a specific illness.

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

NLP Sentiment Classification Project

machine learning theory and exercises

Time series forecasting with scikit-learn models

Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.

Enhancing Patient Care through AI-Driven Disease Prediction

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content