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Faraz Rahman's Projects

arset_ml_fundamentals icon arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

data-science-interview-resources icon data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

db-driven-api-for-beginners icon db-driven-api-for-beginners

This project is about building a local database, using DDL and DML to create, load, query, and manipulate database tables and views. Developing a web service to expose the database table for further analysis and use.

earthscienceanalytics icon earthscienceanalytics

My Open Source Project to create data fetch scripts from open APIs that provide earth observation datasets. This Project was presented at Carnegie Mellon University (Spring 2023)

kiva_funding_eda icon kiva_funding_eda

To assess the welfare of KIVA borrowers(an international nonprofit organization, with a mission to connect people through lending to alleviate poverty)

linear-regression icon linear-regression

Predicting car pricing for a company trying to enter the market, based on the available data on car companies in the US

ml_is_fun icon ml_is_fun

building fun Machine Learning projects and practice skills like exploratory analysis, feature engineering, cross-validation techniques and machine learning algorithms

ncbi_data_fetch icon ncbi_data_fetch

A data engineering pipeline to fetch and parse data from NCBI for further use in analytics.

techtalk-wids-ps-23 icon techtalk-wids-ps-23

My technical Python project on accessing, retrieving and parsing DNA sequencing data that I presented at WiDS 2023, Seattle, April'2023

the_red icon the_red

ML based web app deployed on streamlit for predicting heart diseases. This end-to-end Data Science+Product Management project was presented at Carnegie Mellon University (Fall'2023)

wids_2022 icon wids_2022

Analysis of Building energy efficiency data

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