Learning to create Machine Learning Algorithms

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Classification of Breast Cancer diagnosis Using Support Vector Machines

Open source bioinformatics and computational biology toolbox written in F#.

Tool for creating efficient data pipelines in a JavaScript environment

Native Delta Lake Implementation in Go

Dataprocessing framework for JavaScript 🎂

Weather Forecasting report over the Jaipur Dataset for Rain Prediction

Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).

Machine Learning project to predict popularity of Instagram posts

Process tardis.dev cryptocurrency data, reconstructing the market depth and computing imbalance.

The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process…

Creating an Inverted Index of words occurring in a large set of documents extracted from web pages using Hadoop MapReduce and Google Dataproc

This notebook presents a pipeline to process raw data files of battery cycling and the prediction of their useful life before the degradation starts.

A versatile pipelining library created with media organization in mind.

List of all my AI Projects

캡스톤 디자인을 위한 IoT 프로젝트와 스터디 내용 정리

A graphical batch data processing tool for protein crystallography

The SQL Graph with Tinkerpop3 and Clojure