This repository contains solved LeetCode problems!

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.

Automate WhatsApp Messages With Python

Hackathon by ZS Associates

in this notebook, polynomial regression is used on a dataset

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

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.

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)

Vytics Data Analytics Platform

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.

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

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 👇

An interactive concept map of core **Machine Learning** topics built using **NetworkX** and **PyVis** in Python. This project helps visualize relationships between fundamental ML concepts such as Supervised/Unsupervised Learning, key algorithms (e.g., Regression, SVM, Neural Networks), and optimization techniques like Gradient Descent.