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

A system to record and predict office occupancy on a day to day basis

Demos of various data science projects I completed - August 2023 to present. Mostly Module Assignments from MIT Course. Will add personal projects in the future here as well.

Predict survival on the Titanic and get familiar with ML basics

CNN system analyzes retinal images & provides instant diagnoses, improving accuracy & reliability. The platform features a user-friendly interface implemented with Flask, allowing easy accessibility for users to upload images & to receive results.

An app that keeps track of how many predictions you've gotten correctly.

predicting house price using random forest model and smoothing spline model

Graphical tool for creating verification plots of weather forecasts

Statsmodels: statistical modeling and econometrics in Python

This project aims to predict online shoppers' purchase intentions using browsing history and user data from e-commerce sites. By analyzing clickstream and session information, the goal is to create a machine learning model that accurately forecasts customers' likelihood of making a purchase.

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

I design a website where people come and buy a stock market cource which is designed by me

A Python package of Qimendunjia, one of the three greatest Ancient Chinese Divination Tools ever. Python 奇門遁甲，占卜用，運籌帷幄。包含金函玉鏡日家奇門、拆補法時家奇門、刻家奇門排盤。

Person's body parts or joint position prediction using openCV

基于tensorflow lstm模型的彩票预测

Monteprediction.com - implied volatility client

A Python package of Dailiuren, one of the three greatest Ancient Chinese Divination Tools ever. Python 大六壬，占卜用，簡單，但不包含年月日時干支演化。

A high-level machine learning and deep learning library for the PHP language.

Prediction of Premier League results using Machine Learning

This repository contains a project focused on predicting the total gross of theatrical movies. It utilizes Python, SQL, web scraping, linear regression, and Excel techniques. The data for this project has been sourced from Kaggle