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Sagnik Chakraborty's Projects

loan-default-prediction icon loan-default-prediction

In this project we build a machine learning model to predict loan defaults. We begin with EDA over the dataset. Later we move on to preprocessing, feature extraction, oversampling using SMOTE and finally building the models to generate classification reports.

medical-specialty-classification icon medical-specialty-classification

The project explores the medical specialty dataset comprising of transcriptions for various patients and the corresponding specialization of the medical consultant. The given notebook uses medical_specialty as the target variable for classification, and the transcription as the predictor. We make use of 3 models: Random Forest, LSTM and Bi-LSTM.

pandas icon pandas

Data & Code for my video on the Pandas library of Python

personal-face-detection-model icon personal-face-detection-model

In this notebook, the siamese neural network architecture has been implemented. In order to obtain negative samples the labelled faces in the wild dataset has been used. Images of one's face can be used for positive and anchor samples. Functions to collect all the mentioned data has been implemented as well.

sigmoid_hackathon icon sigmoid_hackathon

Forecasting of sales using ensemble of models and further prediction validation and sanity checking.

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