S

scikit-learn

Statistics for sci-kit learn.

A data mining project analyzing hate crime patterns in the United States from 2017 to 2025, using clustering, predictive modeling, and association rule mining.

A data science project focused on analyzing a car market dataset from Turkey in 2020. The goal is to explore the data, apply various analytical techniques, and derive insights. The specific direction of analysis will be determined through exploration, with potential for building predictive models or visualizing trends in the market.

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Exercises and examples from the scikit learn mooc provided by Inria

Linear regression refresher

Training various machine learning models for NFLX stock price prediction with data collection, cleaning, and visualization tools.

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

examples of Applied ML

La junta directiva de la cadena de supermercados Universal Food ha observado una estabilización en sus ventas y busca comprender cómo mejorar la relación con sus clientes, entendiendo sus hábitos de compra, para ofrecerles un servicio de mayor calidad. El objetivo es proporcionarles una experiencia de compra más personalizada, rápida y efectiva.

Code and data for Natural Language Processing in Action, 2nd Edition, by Maria Dyshel and Hobson Lane for Manning Publications

Relief algorithms implementation

Project Repository for the MLDS Course

Polynomial Regression Model single feature and multiple features using scikit-learn. check this project article on medium: https://medium.com/@alhendyrenad/build-a-polynomial-regression-model-in-python-using-scikit-learn-1b5fd31beb02

building a linear regression model using scikit learn.

Code used to process the recorded data

this project it to practice all concepts and knowledge in the course mlops-zoomcamp

Basic exercises using the scikit-learn library