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scikit-learn-python

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Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

  • Updated Aug 9, 2023
  • Jupyter Notebook
Machine-Learning-with-Scikit-Learn-Python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…

  • Updated Jun 16, 2021
  • Jupyter Notebook
Machine_Learning

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

  • Updated Dec 14, 2020
  • Jupyter Notebook

A web application designed to support farmer-community with Intelligent Machine Learning technologies, providing live crop recommendation and prediction system, facilitating farmers with online community support and chat bot based on Artificial Intelligence. It also Integrates an on-demand news feed page aiding for socializing within the farmer …

  • Updated Mar 21, 2021
  • Jupyter Notebook

The project scope is a weather forecasting model based on behavioral analysis of the last 33 hours (hour-by-hour forecast) with Random Forest Classifier. The program automatically saves and loads the last trained model for prediction.

  • Updated Aug 30, 2025
  • Python

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