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boston-housing-prices

californiahousingpriceprediction

The goal of this project is to build a predictive model for the housing prices of California. The dataset if from the 1990 Census. The final data contained 20,640 observations on 9 variables. The dependent variable is ln(median house value). House value is extremely valuable to investors and predicting this information can maximize profits. Is it all location, location, location? Or are there other variables to consider? We will find out!

dashboards

fitbit-data-analysis

Fitbit API data analysis

gmaps-history-to-csv

Convert your downloadable Google Maps location history to csv.

hello-world

first

lstm-bitcoin-price-prediction

microsoft-dat201x-querying-data-with-transact-sql

Edx Course for Microsoft Professional Program for Data Science track

ml-classification-customer-bank-marketing

Machine Learning Project to determine best customers to acquire from marketing campaigns

nicknames

A CSV file with US given names (first name) and their associated nicknames or diminutive names.

sentiment_analysis

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

sql-queries

web_scraping

Webscraping projects