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PROJECTS

Hate Speech Detection
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Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.

Tools used: nltk,pandas,numpy,stemming,CountVectorizer

Github: https://github.com/mandar196/Hate_Speech_Detection-NLP

MedTest
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An End to End ML Application, which can be used for predicting various diseases such as Diabetes,Heart,Breast Cancer,Malaria,Pneumonia

Used Flask to integrate with Web App & deployed in Heroku platform.

Live Demo: https://medtestmlwebapp.herokuapp.com

Github: https://github.com/maThdar196/MedTest

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Handwritten Digits Recognition
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Used MNIST dataset used for handwritten digits recognition, model is built using CNN and GUI is displayed using Tkinter.

Tools used: tensorflow,keras,numpy

Github: https://github.com/mandar196/Handwritten_Digit_Classifier_CNN

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Employee Attrition (HRAnalytics)
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Predicting why employees are leaving organization & building a model to predict in future, who will leave the company.

Tools used: pandas,numpy,seaborn,GridSearchCV,Gradient Boosting Classifier

Github: https://github.com/maThdar196/Employee_Attrition-HR-Analytics

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