The objective of this repository is to bring together statistical investigations to make it easier to understand real-world problems through statistical inferences, graph visualizations, machine learning algorithms, and web data extraction.
Data Science for Philosophy and Literature
Web scraping to find data science jobs
How much GDP per capita can a country generate for each kiloton of CO₂ spent?
Analysis of pharmaceutical companies on the stock exchange in 2020
How did the financial market behave in Brazil during the pandemic?
Fatal traffic accidents in the State of São Paulo (2015-2020)
- Campaign against traffic accidents (coming soon)
September Yellow: analysis of the suicide rate in Brazil (1985 - 2015) + In English
Female Entrepreneurship Index: Brazil vs. South America
When technologies meet public policies: analysis of urban violence from mobile applications
Productivity and education in the app era
The main sports of the 2016 Olympic Games: their respective histories and data about their athletes
Chemistry and Machine Learning: building a model for red wine classification
October pink and data science: diagnosing breast cancer through Machine Learning algorithms
Real estate pricing (KeyCash company challenge - approved) + solution on streamlit
Predicting default risk (Mutual company challenge - approved)
Predicting 5 or 1 stars in review
Credit financing for the data science sector (Captalys company challenge - approved)
Optimal quantity for Even Break of Printer Ltda
Automated house photo download for House Ltda
Smarter Phones Ltda.
Panelas Ltda.
Privada prev S.A.
Security Pro Ltda.
Cheiro Bom Ltda.
Recommendation system - Brawlhalla
Recommendation system - Jojo's Bizarre Adventure
How to plot multiple graphs using for loop (easy)
Searching datasets on the web with Python
Your first data visualization using countplot (Python - Seaborn) + In English