Tutorials

Tutorials

Docker

This first basic docker tutorial starts from scratch, to introduce the basic concept of images and containers, how to use them and how to build a simple image.

This second tutorial goes into more details, even though it starts from the very beginning as well. Starting from terminology it goes to using ready made images, making your own image, deploy it on AWS.

Pandas (Python)

Great tutorial on timeseries, applied to electricity, it covers Time series data structures, time-based indexing, visualizing , seasonality, frequencies, resampling, rolling windows and trends.

Pandas MultiIndex Tutorial - Zax RosenbergAn in-depth introduction to Pandas’ MultiIndexes using realistic data and practical code snippets. A live walk-through of this tutorial was presented at ChiPy, a video recording of which can be…View Post

Mutli-index with Pandas

Great tutorial on a topic that is usually covered as much as it should!

Keras and RNN LSTM

https://adventuresinmachinelearning.com/keras-lstm-tutorial/

http://cs231n.stanford.edu/

Keras introduction: https://github.com/jorditorresBCN/DEEP-LEARNING-practical-introduction-with-Keras

Git & Markdown

https://www.git-tower.com/learn/git/commands/git-commit

http://agea.github.io/tutorial.md/

Timeseries

https://www.datacamp.com/community/tutorials/time-series-r

http://www.statsoft.com/Textbook/Time-Series-Analysis

https://www.datascience.com/blog/time-series-forecasting-machine-learning-differences

https://otexts.com/fpp2/

https://tomaugspurger.github.io/modern-7-timeseries.html

Scikit-learn

Short introduction : https://www.youtube.com/watch?v=0Lt9w-BxKFQ

NLP and CNN

http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/

http://konukoii.com/blog/2018/02/19/twitter-sentiment-analysis-using-combined-lstm-cnn-models/

Python language

https://www.programiz.com/python-programming

Jupyter notebooks

https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook

R and columns

R basic tutorial: https://teachingr.com/

Columns: https://www.rstudio.com/resources/videos/how-to-work-with-list-columns/

Basic R: http://applied-r.com/

Learning R: 2019 Summer Workshop : https://nyu-cdsc.github.io/learningr/

Git, Virtual env, docs,...

Basic intro / standard workflow

https://dev.to/mollynem/git-github--workflow-fundamentals-5496

Don't be afraid to commit!

https://dont-be-afraid-to-commit.readthedocs.io/en/latest/index.html

Best practices for a successful workflow

https://waydev.co/git-best-practices-for-a-successful-workflow/

Docker for Data Science

https://www.youtube.com/watch?v=gBalsA-x300

Code: https://github.com/harnav/pydata-docker-tutorial

R tutorial

http://r-statistics.co/

Bayesian Data Science by Simulation

Hugo Bowne Anderson, Eric Ma | SciPy 2022

https://www.youtube.com/watch?v=2aa9V4zoDUc&t=3791s

Power BI

https://learn.microsoft.com/fr-fr/training/powerplatform/power-bi?WT.mc_id=powerbi_landingpage-marketing-page

Getting Started with Polars

Tutorials - Matt Harrison

https://www.youtube.com/watch?v=CJ0f45evuME

source

https://github.com/mattharrison/2023-Pycon-Polars

Google Sites

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