Pinned Loading

1. predict_Dow30_stock_prices_using_financial_ratios predict_Dow30_stock_prices_using_financial_ratios Public

   Applied Random Forest, PCA, and Lasso Regression to analyze 75 financial ratios of Dow30 stocks to predict stock prices, and achieved a 97% accuracy

   R 2

2. Cyclistic_bike_share Cyclistic_bike_share Public

   Use Cyclistic's historical data to identify usage trends between members and non-members, build visualizations to present key findings, and generate recommendations converting non-members to members.

   Jupyter Notebook

3. Nashville_housing_price Nashville_housing_price Public

   Use SQL to gather, clean, and standardize Kaggle's Nashville housing price dataset.

   Jupyter Notebook

4. Iowa_house_price_prediction Iowa_house_price_prediction Public

   Use Decision Tree, Random Forest, and Gradient Boosting models to predict the final sale prices for residential houses in Iowa.

   Jupyter Notebook

5. Toronto-Neighborhoods Toronto-Neighborhoods Public

   Find The Optimal Residential Neighborhood in Toronto

   Jupyter Notebook