A unified framework for tabular probabilistic regression and probability distributions in python

This repository consists of two models, one from scratch with the help of sklearn, and the other from HuggingFace. Find more info in the README.

Some code as an introduction to neural networks

Standardized Serverless ML Inference Platform on Kubernetes

Implementation of Dynamic Programming Decision Tree algorithm (Kohler et. al. 2024).

My computer science master's degree project

Automate preprocessing of tabular data for anomaly detection methods. This pipeline handles data cleaning, normalization, and transformation, making your anomaly detection process efficient and accurate.

Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

Machine Learning inference engine for Microcontrollers and Embedded devices

Makes Weka algorithms available in scikit-learn, by using python-weka-wrapper3 under the hood.

Examples for using the scikit-weka library.

GUI for predicting salary based on years of experience using linear regression. Includes live demo on Replit.

Domain adaptation toolbox compatible with scikit-learn and pytorch

The objective of this DLM (Deep Learning Model) is to recognize the emotions from speech.

EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.

This repository contains a Web App Project built with Flask that allows users to upload CSV files, clean those files, and then train a Multiple Linear Regression model to make predictions based on the user's inputs.

Deep learning to classify news articles into different categories (Politics, world news, entertainment, etc)

This is Spam detection with machine learning and streamlit

This program provides a comprehensive pipeline for stock price prediction, integrating CNN for feature extraction and LSTM for sequence modeling, demonstrating a hybrid approach to capture both spatial and temporal patterns in stock data.

All python related content: notes, problems, progress archive.