Academic data, Business School programs

1) Setup pre-processing text to focus model 2) Transformation and Cleaning 3) Document Term Matrix creation 4) Unsupervised Topic Modeling 5) Supervised Topic Modeling 6) TF-IDF by year

Cleaning Transformation Descriptive Analysis Predictive Analysis Supervised Machine learning with XGBoost Simulating creating actionable financial analysis, planning, reporting and visualizations from raw oracle general ledger accounting data. Import, clean, verify, transform, analyze, describe, predict, supervised learning and reporting.

dataset from 1959 to 2009 on astronauts

Bellabeat: This Data Analysis covers data collected on 30 participants from April to May 2016. Contained herein is the complete case analysis consisting of the following steps: Ask, Prepare, Process, Analyze, Share, and Act.

Cyclistic_Data Analysis on Divy Bike Trips covering the period from May 2021 to April 2022 as of May 2022. This timeframe is a follow up to the previous Q2 2019 to Q1 2020 review and analysis completed at that time. The primary purpose of this capstone work is to renew and refresh the Analysis and Share sections adding hours to the date aggregation and to compare generally to the previous period.

Cyclistic Data Analysis on Divy Bike Trips covering Q2_2019 to Q1_2020. This timeframe is unique in the broader Divy dataset with respect to the depth of the required cleaning, processing, and transformations compared to forward years as of May 2022.