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feature-selection

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Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! 📊🚀"

  • Updated Aug 29, 2023
  • Jupyter Notebook

This interactive notebook includes the original implementation of total cumulative mutual information (TCMI) to reproduce the main results presented in the publication "TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions" (DOI: 10.1007/s10618-022-00847-y) (Preprint: https://arxiv.org/abs/2001.11212).

  • Updated Jul 30, 2022
  • Jupyter Notebook

Predicting the Contraceptive Method Choice of a Woman Based on Demographic and Socio-economic Characteristics - The objective of this study is to to predict the contraceptive methods (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics. A data-set of 1473 married women with the…

  • Updated May 12, 2021
  • Jupyter Notebook

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

  • Updated Jul 29, 2020
  • Jupyter Notebook

This repository contains notebooks in which I have implemented ML Kaggle Exercises for academic and self-learning purposes. In my notebooks, I have implemented some basic processes involved in ML Data Processing like How to take care of Missing Values, Handling Categorical Variables, and operations like mapping, 'Grouping', 'Sorting', 'Renaming …

  • Updated Sep 13, 2020
  • Jupyter Notebook

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