oneoffcoder / booksLinks
A collection of online books for data science, computer science and coding!
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- Pairwise association measures of statistical variable types☆21Updated 3 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆52Updated 5 years ago
- Tutorial on time-series forcasting with scikit-learn☆33Updated 2 years ago
- Time-Series Cross-Validation Module☆47Updated 4 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 4 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- PyData London 2022 Tutorial☆69Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- sktime - python toolbox for time series: pipelines and transformers☆25Updated 3 years ago
- Hypothesis and statistical testing in Python☆65Updated 5 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆119Updated 4 years ago
- Dashboard to explore the data and to create baseline Machine Learning model.☆14Updated 4 years ago
- Cookiecutter template for testing Python scikit-learn classifiers.☆36Updated 2 years ago
- Statistical analysis and visualization of state transition phenomena☆86Updated last year
- Parallel processing on pandas with progress bars☆61Updated 7 months ago
- Statistics and Machine Learning in Python☆71Updated 5 years ago
- Sample projects using Ploomber.☆86Updated 2 years ago
- Better `keras` models for time series and beyond☆61Updated 2 years ago
- A labextension to integrate pyflyby with notebooks☆13Updated last month
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- Tutorial material on machine learning with dirty data in Python☆61Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated 2 years ago
- A more flexible alternative to scikit-learn Pipelines☆37Updated 7 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 4 years ago
- Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…☆118Updated 3 years ago
- Automated Tool for Optimized Modelling☆163Updated last year
- DataFrame support for scikit-learn.☆63Updated 4 months ago
- Machine learning based causal inference/uplift in Python☆62Updated 2 weeks ago