These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.

RFE BSU Data mining labs

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Main repository for Mantid code

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

PhonePe Pulse Data Visualization analyzes and visualizes transaction, insurance, and user data from the PhonePe app in India using Python, Pandas, NumPy, MySQL, Streamlit, and Plotly for interactive insights.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Crowd move simulation in python

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

This repository focuses on building both a random forest classifier and regressor, building them from scratch using only NumPy for faster array processing.

flexible type extensions for pandas

Treinamento Para Análise de Dados.

A Raspberry Pi camera for taking pictures using object detection.

A Python module for reading and writing WAV files using numpy arrays.

🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom SAV Python, OOP, R, BI, Data Science

Machine Learning Code Implementations in Python

Biomedical Image Processing involves applying computer algorithms to analyze and enhance medical images, such as X-rays or MRI scans. It aims to extract meaningful information, diagnose diseases, and aid in medical research by employing advanced image analysis techniques and computational tools.

Basic Functions and visualizations.

Assignments for Machine Learning