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dsc-xgboost-lab

dsc-z-score-p-value

git_practice

git_practice_2

home_renovation_recs

Use King County Housing Data to recommend improvements that increase the value of home-owners' properties.

jpx_predict_sharpe_ratio

Predict the daily Sharpe Ratio for 2000 stocks over 56 days.

loan_app_amended

loan_approval

Use a variety of classification models including logistic regression, decision trees, random forest, xgBoost, ensemble methods, and a support vector machine to determine whether a person should be approved for a loan. Utilize 14 features and 65,000 unique rows for data set.

medical_condition

mglearn

mglearn helper package for "Introduction to Machine Learning with Python"

microsoft_studios

Phase 1 Cumulative Project - Flatiron School

probability-density-functions-lab

push_test_1

python_fundamentals

renovate_to_increase_saleprice

Use King County Housing Data to recommend improvements that increase the value of home-owners' properties.

return_on_renovation

seniorml_test

Identify if human is in a room using high frequency radar.

telecom_churn

Predict which customers will soon end their business with a Telecom company.

tellus_jrml_challenge

Use heart and respiration rate to determine if patient needs a check-in.

tellusyoucare_juniormlchallenge

zillow_time_series

Identify which zip codes provide the highest rate of return with moderate risk for real estate investment.