A collection of 100 Data Science Notebooks on different topics.
A genre defines the field in which a problem exists.
G | E | N | R | E |
---|---|---|---|---|
Aerospace | Agriculture | Astronomy | Banking | Customer relations |
Cyber security | E-Commerce | Education | Entertainment | Finance |
Food and Lifestyle | Healthcare | Human Resouces | IT & Media | Industries |
Logistic | Nature | Oil, Minerals & Energy | Art and Craft | Public Safety |
Sales & Marketing | Science & Tech | Sports & Games | Transportation | Travels |
S.No. | Divisions | No. of Notebooks |
---|---|---|
1 | Machine Learning (ML) | 29 |
2 | Deep Learning (DL) | 9 |
3 | Exploratory Data Analysis (EDA) | 24 |
4 | Time Series Analysis (TSA) | 12 |
5 | Natural Language Processing (NLP) | 14 |
6 | Image Processing Computer Vision (IPCV) | 10 |
7 | General Adverserial Network (GAN) | 3 |
T | Total Works | 101 |