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1. Medical-insurance-charges-prediction Medical-insurance-charges-prediction Public

   Modelled the Medical insurance charges with the help of distributed computing platform Pyspark in Databricks. Used 2 models for this purpose. Linear Regression Logistic regression

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2. Programming-challenge-using-distilBERT Programming-challenge-using-distilBERT Public

   Using the wikitext dataset with the distilbert-base-cased model checkpoint.

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3. Topic_modelling Topic_modelling Public

   Modelling topics for amazon Alexa review using unsupervised learning techniques

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4. Baseball-players-performance-analysis-using-PCA Baseball-players-performance-analysis-using-PCA Public

   I did Principal Component Analysis (PCA) in order to reduce the number of variables and identify underlying patterns in the data.

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5. Diabetes-Readmission-Prediction-using-Tree-based-models Diabetes-Readmission-Prediction-using-Tree-based-models Public

   This repository contains PySpark code that implements three machine learning models for predicting diabetes readmission: Decision Forest, Random Forest, and Gradient Boosted models. These models ar…

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6. Neural-Network-model Neural-Network-model Public

   This repository contains PySpark code that implements Neural Network models for predicting diabetes readmission. These models are trained and evaluated using patient information.

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