ilanhaskel Goto Github PK

alzheimers_disease_fmri_image_classifier

Created machine learning image classifier using Tensorflow that can accurately diagnose whether a patient has Alzheimer’s Disorder when fed an f-MRI scan of their brain and deployed the model for the business use-case of diagnostic efficiency and hospital resource conservation.

competitive_programming

A repository containing my solutions to coding competitions I have entered

customer_churn_predictor

Trained a machine learning classifier on telecom customer data that is able to predict with 96% accuracy (compared to baseline of 84%) whether a particular account will churn or not, for the business use-case of advising a telecom provider on which customers to target with retention measures.

ds-data_analysis_csv-bqs-32

dsc-data-serialization-lab

dsc-floats-ints-booleans

practice

dsc-hypothesis-testing-lab

dsc-more-on-missing-data

dsc-pandas-data-cleaning-lab

dsc-pandas-eda-lab

dsc-running-jupyter-locally-lab

jupyter notebook lab

dsc-sql-lab

dsc-strings

practice

git_practice

github_api.py

imdb

imdb_data_analysis

EDA performed on IMDB dataset of ~70,000 movies with the business goal of extracting meaningful relationships between market performance and movie characteristics

mtg-web-scraper

Magic: The Gathering card web scraper

multiple_regression_pp

my-first-project

ntl01-dtsc-live-103122

Main cohort repo

pneumonia_x-ray_image_classifier

Created machine learning image classifier using Tensorflow that can accurately diagnose whether a patient has Pneumonia when fed an X-Ray of their chest and deployed the model for the business use-case of diagnostic efficiency and hospital resource conservation

real_estate_sale_price_predictor

Trained machine learning linear regression model on over 30,000 real estate sales that is able to predict sale price for a house given features such as square footage and number of bathrooms, with the business use-case of informing real estate investors on property purchasing decisions.