A unified framework for machine learning with time series

Number guessing game played between two players: human and computer. Basic Python project for studying object-oriented programming and machine learning with the scikit-learn library.

This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

Data Science AI Artificial Intelligence Machine Deep Learning Classification Regression Python Keras TensorFlow TensorFlow2 TPOT XGBoost Matplotlib NumPy Pandas scikit-learn Folium Seaborn Jupyter Lab Notebook

Parallel computing with task scheduling

A Python (Flask), PostgreSQL, and AWS based web application that uses machine learning to recommend movies that you'll love or movies that you'll hate.

EBOP Model Automatic input Value Estimation Neural network

Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

skscope: Sparse-Constrained OPtimization via itErative-solvers

Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.

Survival analysis built on top of scikit-learn

Practice files of various ML algorithms that I learn throughout my journey are posted here.

machine learning theory and exercises

Federated data Preprocessing via aggregated Statistics

Customer Segmentation using K-Means Algorithm

A Long Term Training On Artificial Intelligence

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

Machine Learning Algorithms

BDA - basic ~ comprehensive ~ project