Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Feature Engineering And Feature Selection	798	2 years ago	6		Jupyter Notebook
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Amazing Feature Engineering	485	7 months ago			Jupyter Notebook
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Desbordante	54	3 months ago	50	agpl-3.0	C++
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Deep Learning Gene Expression	10	5 years ago		mit	Jupyter Notebook
Deep learning methods for feature selection in gene expression autism data.
Google Job Skills	9	5 years ago		gpl-3.0	Jupyter Notebook
Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google.
Nestedsubtreehash	7	2 years ago		gpl-3.0	Python
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

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Feature Engineering And Feature Selection ⭐ 798

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

most recent commit 2 years ago

Amazing Feature Engineering ⭐ 485

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

most recent commit 7 months ago

Desbordante ⭐ 54

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

most recent commit 3 months ago

Deep Learning Gene Expression ⭐ 10

Deep learning methods for feature selection in gene expression autism data.

most recent commit 5 years ago

Google Job Skills ⭐ 9

Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google.

most recent commit 5 years ago

Nestedsubtreehash ⭐ 7

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

most recent commit 2 years ago

Suggest An Alternative To deep-learning-gene-expression

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Deep Learning Gene Expression vs Feature Engineering And Feature Selection

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