Linking pages
- GitHub - prakhar21/50-Days-of-ML: A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects https://github.com/prakhar21/100-Days-of-ML 3 comments
- feature-engineering-and-feature-selection/A Short Guide for Feature Engineering and Feature Selection.md at master · Yimeng-Zhang/feature-engineering-and-feature-selection · GitHub https://github.com/Yimeng-Zhang/feature-engineering-and-feature-selection/blob/master/A%20Short%20Guide%20for%20Feature%20Engineering%20and%20Feature%20Selection.md 3 comments
- Kernel PCA vs PCA vs ICA in Tensorflow/sklearn | by Jae Duk Seo | Towards Data Science https://towardsdatascience.com/kernel-pca-vs-pca-vs-ica-in-tensorflow-sklearn-60e17eb15a64 0 comments
- How Feature Engineering can help you do well in a Kaggle competition - Part I | by Gabriel Moreira | CI&T Machine Learning | Medium https://medium.com/unstructured/how-feature-engineering-can-help-you-do-well-in-a-kaggle-competition-part-i-9cc9a883514d 0 comments
- Predictive modeling, supervised machine learning, and pattern classification http://sebastianraschka.com/Articles/2014_intro_supervised_learning.html 0 comments
Linked pages
- Implementing a Principal Component Analysis (PCA) http://sebastianraschka.com/Articles/2014_pca_step_by_step.html 26 comments
- scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation http://scikit-learn.org/ 13 comments
- GitHub - rasbt/pattern_classification: A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks https://github.com/rasbt/pattern_classification 0 comments
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