Collection of Python notebooks for various machine learning, deep learning and analytics use cases
Welcome to the GitHub tutorial directory of the relataly.com blog on python machine learning & deep learning!
The files listed in this directory are all Jupyter notebook files.
Each file represents a separate Python project and is described in more detail in a blog post.
Some of the topics covered are:
- Time series forecasting for stock market prediction using recurrent neural networks
- Computer vision: image classification with convolutional neural networks
- Anomaly detection using random isolation forests
- Explorative analytics and visualization using different charts and tools, incl. heat maps and geographic maps
- Distributed computing with PySpark
- Hyperparameter tuning using grid search
- Recommender systems using collaborative filtering
For access to blog articles visit www.relataly.com.
Also check out the other relataly repositories: https://github.com/flo7up/relataly-public-python-API-tutorials
Shield:
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
