Regression-Classification-Clustring

Contain implementation of various machine learning algorithms

Usage : run flask api

$python server.py

open another terminal to send request to api

$python request.py

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
.ipynb_checkpoints		.ipynb_checkpoints
Dataset		Dataset
Output_Images		Output_Images
models		models
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
Classification_Text_BBC_Dataset.ipynb		Classification_Text_BBC_Dataset.ipynb
Clustering_Using_Unlabelled_Data.ipynb		Clustering_Using_Unlabelled_Data.ipynb
Clustring_Using_Labelled_Data.ipynb		Clustring_Using_Labelled_Data.ipynb
LICENSE		LICENSE
Linear_Regression_With_Numerical_Data.ipynb		Linear_Regression_With_Numerical_Data.ipynb
Logistic_Regression.ipynb		Logistic_Regression.ipynb
Multiple_Type_of_Classification.ipynb		Multiple_Type_of_Classification.ipynb
Multiple_Types_of_Regression.ipynb		Multiple_Types_of_Regression.ipynb
README.md		README.md
Regression_Categorical_Data.ipynb		Regression_Categorical_Data.ipynb
Serializing_Sklearn_Model.ipynb		Serializing_Sklearn_Model.ipynb
Text_Classification.ipynb		Text_Classification.ipynb
request.py		request.py
server.py		server.py
test_data.json		test_data.json

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