Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
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. | ||||||||||
Datasist | 137 | 2 years ago | 8 | April 10, 2020 | 10 | mit | Jupyter Notebook | |||
A Python library for easy data analysis, visualization, exploration and modeling | ||||||||||
Datacon | 49 | 3 years ago | Jupyter Notebook | |||||||
:trophy:DataCon大数据安全分析大赛,2019年方向二(恶意代码检测)冠军源码、2020年方向五(恶意代码分析)季军源码 | ||||||||||
Data Science Regular Bootcamp | 39 | a year ago | 165 | mit | Jupyter Notebook | |||||
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed. | ||||||||||
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. | ||||||||||
Data Science End To End | 22 | a year ago | mit | Jupyter Notebook | ||||||
A Respository to get you job ready as a Data Scientist | ||||||||||
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 | ||||||||||
Hdb_resale_prices | 18 | 3 months ago | mit | Python | ||||||
Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction. | ||||||||||
Bubble_plot | 18 | 5 years ago | 8 | July 11, 2019 | 1 | Python | ||||
Visualize linear and non-linear connections between numerical/categorical features (2D histogram with bubbles) | ||||||||||
Data Science | 17 | 9 months ago | mit | Jupyter Notebook | ||||||
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau. |