F1-Data-Visualization
Linear-Algebra-With-Python
F1-Data-Visualization | Linear-Algebra-With-Python | |
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2 | 1 | |
13 | 2,160 | |
- | - | |
8.8 | 0.0 | |
8 days ago | over 1 year ago | |
Python | Jupyter Notebook | |
- | MIT License |
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F1-Data-Visualization
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Belgium Grand Prix Lap Time Data Visualized
All graphs mine, you can find the code I used to generate them at this repo.
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2021 vs 2022 tyres, what changed? (visualizations and analysis)
All included plots are generated using my own code and you can play with them here (requires Jupyter Notebook setup). A web interface is being developed here. Leave a comment below if there is any particular graph you want to see!
Linear-Algebra-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Linear Algebra with Python: This training will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skill sets. Suitable for statisticians, econometricians, quantitative analysts, data scientists, etc. to quickly refresh linear algebra with the assistance of Python computation and visualization. Core concepts covered are: linear combination, vector space, linear transformation, eigenvalues and -vector, diagnolization, singular value decomposition, etc.
What are some alternatives?
F1-Web-Server
Bayesian-Statistics-Econometrics - Bayesian Statistics-Econometrics
F1_analysis - f1_data_analysis is a github repository dedicated to analyzing data from the world of Formula 1 racing.
Coincap-Api-Data_Analysis - Analyzing Cryptocurrency Price Trends: A Study of 5 Coins from the CoinCap API
F1PyStats - An open-source Python3 package that provides Formula 1 data to developers.
Basic-Statistics-With-Python - Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
F1Tracer - F1 telemetry animation
github_innovation_graph_analysis