Learning to create Machine Learning Algorithms

Classification of Breast Cancer diagnosis Using Support Vector Machines

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

Focusing on building industry-leading ETL engines.

Open source bioinformatics and computational biology toolbox written in F#. This is the core package containing type models and parsers/writers.

Tool for creating efficient data pipelines in a JavaScript environment

Native Delta Lake Implementation in Go

Stochastic Testing and Input Manipulation for Unbiased Learning Systems

Weather Forecasting report over the Jaipur Dataset for Rain Prediction

Dataprocessing framework for JavaScript 🎂

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).

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

Machine Learning project to predict popularity of Instagram posts

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 data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.

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 data engineering project with dbt, Docker, Kestra, Terraform, GCP and Looker.

Can we tell if a house is abandoned based on aerial imagery?

A versatile pipelining library created with media organization in mind.

Feature engineering on LivePeople dataset

List of all my AI Projects

A graphical batch data processing tool for protein crystallography

캡스톤 디자인을 위한 IoT 프로젝트와 스터디 내용 정리

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The SQL Graph with Tinkerpop3 and Clojure

Scraping searched jobs on Jobsite with Python and selenium on google colab

Data Science materials

This repo supports IT ticket classification using NLP and machine learning techniques. It implements an SVM model with TF-IDF vectorization for accurate categorization. Designed to automate ticket sorting and improve IT service efficiency. Includes data preprocessing, model training, and evaluation workflows.

An end-to-end application that predicts stock price movements using sentiment analysis of financial news headlines. Powered by machine learning, NLP, and real-time data integration, this project offers investors a reliable tool for data-driven decision-making.

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