ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.

This project aims to analyze customer churn in the telecom industry using machine learning techniques. By leveraging Python and various data science libraries, we preprocess the data, perform exploratory data analysis (EDA), and build predictive models to identify factors contributing to customer churn.

Web app for used car price predictions

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

methods of machine learning through laboratory work

This repository is meant to store the code examples used in articles posted on www.insidelearningmachines.com. Each article on the website will have an associated jupyter notebook here with the same name.

To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset

Future Price Prediction for Amazon Stocks usign Python and Polyninomal Reggression and Lineer Reggression

PECOS - Prediction for Enormous and Correlated Spaces

oneAPI Data Analytics Library (oneDAL)

This is an exploration of data science & machine learning, including various data analysis, preprocessing and modeling methods in python and mathematics behind them.

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.

Repository related to machine learning projects and related modules

Easily assemble and serverlessly consume modular AI pipelines through secure Python APIs.

This is my portfolio. This includes machine learning, math research, etc. I made this using html and css.

Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"

In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.

A user centric CMS with a bit of machine learning

Machine learning model with linear regression to expect weather conditions

Machine learning projects for beginners , with source code