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  1. Cryptocurrencies-Unsupervised-Machine-Learning Cryptocurrencies-Unsupervised-Machine-Learning Public

    Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

    Jupyter Notebook

  2. pato7mx/Credit-Card-Risk-Analysis-Machine-Learning pato7mx/Credit-Card-Risk-Analysis-Machine-Learning Public

    Jupyter Notebook 2

  3. Neural_Network_Charity_Analysis Neural_Network_Charity_Analysis Public

    Created a binary classifier that is capable of predicting whether applicants will be successful if funded by investors

    Jupyter Notebook

  4. PyBer_Analysis PyBer_Analysis Public

    Created a summary DataFrame of the ride-sharing data by city type of a Uber-like company (Pyber). Then, using Pandas and Matplotlib, I created a multiple-line graph that shows the total weekly fare…

    Jupyter Notebook

  5. Movies-ETL Movies-ETL Public

    Created an automated pipeline that takes in new data from a movie set. Performed the appropriate transformations, and loaded the data into existing tables. Performed the ETL process by adding the d…

    Jupyter Notebook

  6. Mapping_Earthquakes Mapping_Earthquakes Public

    Created an earthquake map with two different maps and the earthquake overlay. In this maps you are able to see: 1. The earthquake data in relation to the tectonic plates’ location on the earth. 2. …

    JavaScript