Detect a clogged FDM-3d-printer nozzle by training a machine learning algorithm

Machine Learning From Scratch, just use Python and NumPy

NIRS-VIS is a Master Thesis Project for decoding visual stimuli from fNIRS brain data with transformers and autoencoders via Pytorch

This repository contains my code while reading the awesome Machine Learning book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition". This book is awesome man. I can't describe that how happy I am now by reading this book.

in this notebook, polynomial regression is used on a dataset

Program assignment for The Elements of Statistical Learning, T.Hastie in Matlab

Automate WhatsApp Messages With Python

Hackathon by ZS Associates

Creating this lib for ML tasks, because I'm bored of copy-pasting the same functions for different projects.

Some university subjects from Moscow Technical University of Communications and Informatics (MTUCI) / Московского Технического Университета Связи и Информатики (МТУСИ)

After watching an interesting YouTube video about a battle between Reddit users and Wallstreet major players, using a machine learning model, I want to find how Reddit users especially the traders express themselves.

My solution to the flight price prediction hackathon using Decision Trees and other variants of it (AdaBoosted, Bagging Regressors etc).

We leverage AR for visually enhancing the detection process by drawing landmarks and bounding boxes around detected footwear, and ML for classifying the detected items into specific footwear categories.

Image tempering app detects and analyzes alterations in images, identifying inconsistencies or signs of manipulation. It helps users verify image authenticity, making it useful for security, media, and forensic applications where image integrity is crucial. 🛎️Deployed link is give below 👇

Used Car Price Prediction using Machine Learning includes Data Cleaning, Data Preprocessing, 8 Different ML Models and Some Insights from Data to be used on CDSW

K-Pop Idol Classification: Computer vision project using fine-tuned Vision Transformers (ViT) to identify K-pop idols from TOMORROW X TOGETHER. Features YOLOv8 face detection, grayscale preprocessing technique improving accuracy from 60% to 85%, and interactive Gradio demo interface.

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