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1. NYC-Restaurant-Yelp-and-Inspection-Analysis NYC-Restaurant-Yelp-and-Inspection-Analysis Public

   Used Hypothesis Testing to gather analytical insights about Manhattan Yelp and Inspection Grade data. Additionally, Used Machine Learning Classification techniques such as Logistic Regression, Deci…

   Jupyter Notebook 4 1

2. Real-Estate-Price-Forecasting Real-Estate-Price-Forecasting Public

   Forked from learn-co-students/dsc-mod-4-project-online-ds-sp-000

   Deployed Time Series Analysis on Zillow housing data to predict future home values. Analyzed results to determine the best 5 zip codes to invest in based on greatest potential return.

   Jupyter Notebook 2

3. Northwind-Business-Metrics-Analysis Northwind-Business-Metrics-Analysis Public

   Forked from learn-co-students/dsc-mod-3-project-online-ds-sp-000

   Used SQL queries and Hypothesis Testing to generate analytical insights on the Northwind Database.

   Jupyter Notebook 1

4. Terry-Stop-Arrest-Prediction Terry-Stop-Arrest-Prediction Public

   Forked from learn-co-curriculum/dsc-mod-3-project-v2-1

   Used Machine Learning Classification models such as Logistic Regression, KNN, Decision Tree, and Random Forest to predict arrests. Model has 80% accuracy.

   Jupyter Notebook 2 1

5. Predicting-Housing-Sale-Prices Predicting-Housing-Sale-Prices Public

   Forked from learn-co-students/dsc-v2-mod1-final-project-online-ds-sp-000

   Performed exploratory data analysis and multivariate linear regression to predict sales price of houses in Kings County. Regression model has R-Squared = 76%.

   Jupyter Notebook 1