Data Analysis Practice Repository
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Updated
Jun 8, 2024 - Jupyter Notebook
Data Analysis Practice Repository
Python Scripts and Jupyter Notebooks for Prof. Robert Wrobel's Applied Business Statistics course at Webster University and anybody else who wants to learn!
Analyzing O3 Air Quality Index trends (2000-2023) in the U.S., this project identifies regions with rising pollution. Utilizing exploratory data analysis and time-series modeling, it offers actionable insights for informed policy decisions on urgent O3 pollution issues.
Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects
Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
Python Data Analysis & Visualization: Player Size Relative to Performance
Skills: Python (Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Statsmodels)
📜 🎉 Automated reporting of objects in R
This project aims to understand and predict a car's fuel efficiency based on its characteristics. I have built a multiple linear regression model using stats models and scikit-learn.
Prata ou Chumbo: Os Efeitos da Resistência Violenta no Crescimento Econômico
BCIT Computer Systems Technology (CST) - COMP 4949 (Big Data Analytics Methods)
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)
Time-series forecasting tecniques applied to the stock market
Statistical analysis that involves the impact of various factors on success rates of a campaign
Healthcare cost projection for fiscal year (FY) 2026 and 2027 based on historical healthcare expenses.
gradient-boosted regression and decision tree models on behavioural animal data
Data Science DRY OOP Umbrella Library
Data Science Foundations II | Statistics Fundamentals for Data Science | Simple Linear Regression for Data Science
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