Python Data Analysis & Visualization: Player Size Relative to Performance
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Updated
Jun 6, 2024 - Jupyter Notebook
Python Data Analysis & Visualization: Player Size Relative to Performance
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!
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
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
Analysing Time series and spatiotemporal data
Input Output Hidden Markov Model (IOHMM) in Python
Exercícios do curso "Profissao: Cientista de Dados", sendo realizado pela EBAC - Escola Britânica de Artes Criativas e Tecnologia.
Stock price prediction models for alpaca.markets
Exploring simple linear regression models to analyze the relationship between advertising expenditure and sales.
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