Vit-Hackathon-SAS
by athithian1643 Updated: Sep 11, 2022
Solution Kit
This kit is a machine learning kit that predicts droughts and their severities based on meteorological indicators. The use case of such a kit would be to predict the severity of drought and the possibility of drought in a specific region which can be used to analyze and prepare for such an oncoming disaster. The proposed model takes in meteorological indicators of a specific area and predicts the possibility of drought in that area in the near future. The algorithm used is Random forest classifier.
EDA
Used to perform exploratory data analysis on the data and analyze a model. Used for extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
37439
Version:v2.0.0rc1
License: Permissive (BSD-3-Clause)
numpyby numpy
The fundamental package for scientific computing with Python.
numpyby numpy
Python
23036
Version:v1.24.2
License: Permissive (BSD-3-Clause)
seabornby mwaskom
Statistical data visualization in Python
seabornby mwaskom
Python
10513
Version:v0.12.2
License: Permissive (BSD-3-Clause)
Machine learning and data visualization
Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning. The patterns and relationships are identified by representing data visually and below libraries are used for generating visual plots of the data.
scikit-learnby scikit-learn
scikit-learn: machine learning in Python
scikit-learnby scikit-learn
Python
53572
Version:1.2.2
License: Permissive (BSD-3-Clause)
statsmodelsby statsmodels
Statsmodels: statistical modeling and econometrics in Python
statsmodelsby statsmodels
Python
8330
Version:v0.13.5
License: Permissive (BSD-3-Clause)
matplotlibby matplotlib
matplotlib: plotting with Python
matplotlibby matplotlib
Python
17111
Version:v3.7.1
License: No License
Deployment Information
1. Download the data set from https://drive.google.com/file/d/1VQ3HZ3ADQLxGHX5s-vDK43qlsI4-Y0uw/view?usp=sharing 2. Access the google collab notebook through https://colab.research.google.com/drive/1-379ZQTuTE9LU_UQxz5T34Id5Zk8DGNh?usp=sharing 3. View the collab file through the link.