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

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

An MLOps project on NY Taxi dataset deployed on AWS

Descriptive And Inferential Data Analysis Using Python Projects

Implementation of Linear/Logistic Reg, K-NN, SVM, Clustering, K-Means, ConvNet, ResNet, MobileNet, RNN, LSTM etc. using Pandas, SciKitLearn, NumPy & TensorFlow 2

HiDN a ML pipeline for sparse high dimensional data

This project is based on the analysis of the reviews and ratings user gives on Flipkart to make others aware of their experience and moreover about the quality of the product and brand. So, by analyzing that data we can tell the users a lot about the products and also the ways to enhance the quality of the product.

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

AI Studio by Metric Coders: A No-Code Software to train, download and deploy Large Language Models.

Flower: A Friendly Federated Learning Framework

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

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

This is my profile which gives the insights of my projects created using various tools and frameworks.

A toolkit for machine learning from time series

Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

Comparative analysis of 3 popular regression techniques based on 3 different datasets refactored into Kedro workflow

A unified framework for machine learning with time series

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

Customer Segmentation using K-Means Algorithm