| ... | ... | @@ -3,15 +3,10 @@ |
|
|
|
## Python for ML applications
|
|
|
|
|
|
|
|
- [Python for beginners](https://www.youtube.com/watch?v=rfscVS0vtbw)
|
|
|
|
|
|
|
|
- [Learn to code: freecodecamp](https://freecodecamp.org)
|
|
|
|
|
|
|
|
- [Python Like You Mean It](https://www.pythonlikeyoumeanit.com/)
|
|
|
|
|
|
|
|
- [Data Preprocessing in Python](https://medium.datadriveninvestor.com/data-preprocessing-3cd01eefd438)
|
|
|
|
|
|
|
|
- [The Jupyter Notebook](https://jupyter-notebook.readthedocs.io/en/stable/)
|
|
|
|
|
|
|
|
- [Better Heatmaps and Correlation Matrix Plots](https://towardsdatascience.com/better-heatmaps-and-correlation-matrix-plots-in-python-41445d0f2bec)
|
|
|
|
|
|
|
|
## ML libraries and tools
|
| ... | ... | @@ -29,19 +24,12 @@ |
|
|
|
Below you can find a list of resources to check for interesting datasets:
|
|
|
|
|
|
|
|
- <https://archive.ics.uci.edu>
|
|
|
|
|
|
|
|
- <https://dataverse.harvard.edu/>
|
|
|
|
|
|
|
|
- <https://paperswithcode.com/>
|
|
|
|
|
|
|
|
- <https://datasetsearch.research.google.com/>
|
|
|
|
|
|
|
|
- <https://cloud.google.com/bigquery/public-data/>
|
|
|
|
|
|
|
|
- <https://registry.opendata.aws/>
|
|
|
|
|
|
|
|
- <https://www.kaggle.com/>
|
|
|
|
|
|
|
|
- <https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research>
|
|
|
|
|
|
|
|
|
| ... | ... | @@ -63,24 +51,17 @@ We will be using Scikit-Learn for importing a variety of ML libraries, particula |
|
|
|
## Useful tools
|
|
|
|
|
|
|
|
- [Seeing theory](https://seeing-theory.brown.edu/)
|
|
|
|
|
|
|
|
- [fastpages: blogging platform with extra features for Jupyter Notebooks](https://fastpages.fast.ai/)
|
|
|
|
|
|
|
|
- [Benchmarking Every Open Source Model](https://sotabench.com)
|
|
|
|
|
|
|
|
- [Record for your model training](https://www.wandb.com/experiment-tracking)
|
|
|
|
|
|
|
|
- [Version Control System for Machine Learning Projects](https://dvc.org/)
|
|
|
|
|
|
|
|
- [Pipeline tracking and production model management](https://wandb.ai/site/artifacts)
|
|
|
|
|
|
|
|
- [Gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki)
|
|
|
|
|
|
|
|
|
|
|
|
## Others places to look for answers
|
|
|
|
|
|
|
|
- [Open-access archive](https://arxiv.org)
|
|
|
|
|
|
|
|
- [towardsdatascience: sharing concepts, ideas and codes](https://towardsdatascience.com)
|
|
|
|
|
|
|
|
|
| ... | ... | |
| ... | ... | |
