Tags
Data science
- Exploring Goodreads Data: An Analysis of 10 Million Books
- Analysis of YouTube Trending Videos of 2019 (US)
- Great Course Review: SQL for Data Analysis
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- Comparing and Clustering the Neighborhoods of New York City and Toronto
- My Approach to Solve Kaggle's VSB Power Line Fault Detection Competition
- My Problem With Kaggle Competitions
- House Price Prediction: An End-to-End Machine Learning Project
- How to Create Beautiful Plots with matplotlib
- Machine Learning: Linear Regression, Simply Explained
- YouTube Trending Videos Analysis (40,000+ Videos)
- A Great Resource to Enjoyably Start Learning Python
- A Simple Introduction to Understand Machine Learning
- A Short Introduction to Data Science
Machine learning
- Comparing and Clustering the Neighborhoods of New York City and Toronto
- My Approach to Solve Kaggle's VSB Power Line Fault Detection Competition
- My Problem With Kaggle Competitions
- House Price Prediction: An End-to-End Machine Learning Project
- Machine Learning: Linear Regression, Simply Explained
- A Simple Introduction to Understand Machine Learning
- A Short Introduction to Data Science
Data scientist
Python
- Analysis of YouTube Trending Videos of 2019 (US)
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- My Approach to Solve Kaggle's VSB Power Line Fault Detection Competition
- House Price Prediction: An End-to-End Machine Learning Project
- How to Create Beautiful Plots with matplotlib
- YouTube Trending Videos Analysis (40,000+ Videos)
- A Great Resource to Enjoyably Start Learning Python
Resources
Data analysis
- Exploring Goodreads Data: An Analysis of 10 Million Books
- Analysis of YouTube Trending Videos of 2019 (US)
- Great Course Review: SQL for Data Analysis
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- Comparing and Clustering the Neighborhoods of New York City and Toronto
- How to Create Beautiful Plots with matplotlib
- YouTube Trending Videos Analysis (40,000+ Videos)
Data visualization
- Exploring Goodreads Data: An Analysis of 10 Million Books
- Analysis of YouTube Trending Videos of 2019 (US)
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- Comparing and Clustering the Neighborhoods of New York City and Toronto
- How to Create Beautiful Plots with matplotlib
- YouTube Trending Videos Analysis (40,000+ Videos)
Data science project
- Analysis of YouTube Trending Videos of 2019 (US)
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- Comparing and Clustering the Neighborhoods of New York City and Toronto
- My Approach to Solve Kaggle's VSB Power Line Fault Detection Competition
- House Price Prediction: An End-to-End Machine Learning Project
- YouTube Trending Videos Analysis (40,000+ Videos)
Exploratory data analysis
- House Price Prediction: An End-to-End Machine Learning Project
- YouTube Trending Videos Analysis (40,000+ Videos)
Linear regression
Matplotlib
- Analysis of YouTube Trending Videos of 2019 (US)
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- House Price Prediction: An End-to-End Machine Learning Project
- How to Create Beautiful Plots with matplotlib
Latex
Writing
Lyx
Pandas
- Analysis of YouTube Trending Videos of 2019 (US)
- Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches)
- House Price Prediction: An End-to-End Machine Learning Project
Seaborn
Fonts
Typography
Web design
Web fonts
Kaggle
- My Approach to Solve Kaggle's VSB Power Line Fault Detection Competition
- My Problem With Kaggle Competitions
Creativity
Book summary
- My notes from The Hundred Years' War on Palestine
- The E-Myth Revisited - Book Notes
- Storyworthy - Book Notes
- Science Set Free - Book Notes
- Digital Minimalism - Book Notes
- Everyone Communicates, Few Connect - Book Notes
- Show Your Work! Book Notes
