Project VI: Machine Learning Music Predictor using Scikit-Learn

Created a model using Decision Trees and Naive Bayes to: Train the model Make predictions Evaluate and improve the machine learning model Further functions done: Importation of data Cleaning data Splitting the data into train and test data Importing the models. Displaying the decision tree model Generated Decision Tree Code available upon request.

March 12, 2021

Project V: Analyzing US Economic Data and Building a Dashboard

Key Learning Outcomes: Use of BokehJS to visualize my extracted data Define a Function that Makes a Dashboard Create a dataframe that contains the GDP data and display it Create a dataframe that contains the unemployment data and display it Display a dataframe where unemployment was greater than 8.5% Use the function make_dashboard to make a dashboard Use of IBM Watson Cloud Save the dashboard on IBM cloud and display it Code available upon request.

March 1, 2021

Project IV: Natural Language Processing Post Election tweets with Python NLTK.

Created a tool using NLTK to: Find the number of unique words in the file Find the top 10 most frequent tokens in the file. Remove empty rows and duplicates Remove non-alphanumeric characters Remove stop words Perform a Part of speech tagging Create a word cloud of the cleaned data Word Cloud of Cleaned Tweets Code provided upon request.