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…

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

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

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

Feature engineering on LivePeople dataset

A versatile pipelining library created with media organization in mind.

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