Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Feature Engineering Tutorials	217	a year ago	5	agpl-3.0	Jupyter Notebook
Data Science Feature Engineering and Selection Tutorials
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.
Numer.ai	49	8 years ago			Python

Drugs Recommendation Using Reviews	27	4 years ago	1	gpl-3.0	Jupyter Notebook
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Students Performance Analytics	24	4 years ago		gpl-3.0	Jupyter Notebook
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
Fifa 2019 Analysis	21	5 years ago		gpl-3.0	Jupyter Notebook
This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
Natural Language Processing With Machine Learning	18	a year ago		mit	Jupyter Notebook
This repository builds a basic understanding of Natural Language Processing and Machine Learning tasks around it.
Exemplary Ml Pipeline	14	5 years ago		mit	Jupyter Notebook
Exemplary, annotated machine learning pipeline for any tabular data problem.
World Food Production	14	5 years ago		gpl-3.0	Jupyter Notebook
Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings through the power of Data Analysis and Data Visualization using Machine Learning.
Titanic Survival In Depth Analysis	12	5 years ago			Jupyter Notebook
Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

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Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

most recent commit a year 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

Numer.ai ⭐ 49

most recent commit 8 years ago

Drugs Recommendation Using Reviews ⭐ 27

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

most recent commit 4 years ago

Students Performance Analytics ⭐ 24

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades

most recent commit 4 years ago

Fifa 2019 Analysis ⭐ 21

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

most recent commit 5 years ago

Natural Language Processing With Machine Learning ⭐ 18

This repository builds a basic understanding of Natural Language Processing and Machine Learning tasks around it.

most recent commit a year ago

Exemplary Ml Pipeline ⭐ 14

Exemplary, annotated machine learning pipeline for any tabular data problem.

most recent commit 5 years ago

World Food Production ⭐ 14

Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings through the power of Data Analysis and Data Visualization using Machine Learning.

most recent commit 5 years ago

Titanic Survival In Depth Analysis ⭐ 12

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

most recent commit 5 years ago

Suggest An Alternative To KGFarm

Alternative Project Comparisons

Kgfarm vs Feature Engineering Tutorials

Kgfarm vs Desbordante

Kgfarm vs Numer.ai

Kgfarm vs Drugs Recommendation Using Reviews

Kgfarm vs Students Performance Analytics

Kgfarm vs Fifa 2019 Analysis

Kgfarm vs Natural Language Processing With Machine Learning

Kgfarm vs Exemplary Ml Pipeline

Kgfarm vs World Food Production

Kgfarm vs Titanic Survival In Depth Analysis

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