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1. bikesharing bikesharing Public

   Analyze all the rideshare data from January to early May of 2019 and create a visualization of the data.

   Jupyter Notebook

2. Credit_Risk_Analysis Credit_Risk_Analysis Public

   Use Resampling Models to Predict Credit Risk. Use the SMOTEENN Algorithm to Predict Credit Risk. Use Ensemble Classifiers to Predict Credit Risk. A Written Report on the Credit Risk Analysis.

   Jupyter Notebook

3. Kickstarter-Analysis Kickstarter-Analysis Public

   The analysis exhibits the data to show the best months to launch a successful campaign and the optimum range for the monetary goal amount.

4. Stock-Analysis Stock-Analysis Public

   This analysis consisted of 12 green energy stock performances during 2017 and 2018. The analysis was executed using VBA to determine the total volume and return on investment.

5. TMDB_Box_Office_Prediction TMDB_Box_Office_Prediction Public

   Look over the metadata on over 3,000 past films from The Movie Database to try and predict their overall worldwide box office revenue

   Jupyter Notebook 1

6. Cryptocurrencies Cryptocurrencies Public

   Describe the differences between supervised and unsupervised learning, including real-world examples of each. Preprocess data for unsupervised learning. Cluster data using the K-means algorithm. De…

   Jupyter Notebook