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pratik2301's Projects

insurance-premium-prediction icon insurance-premium-prediction

Estimated the premium of insurance that should be charged based upon age, smoking status and other various features with accuracy nearly equal to 85%

keywords-extraction-project-nlp icon keywords-extraction-project-nlp

The model takes English language paragraphs as input and returns 20 keywords which explains the paragraph. It uses Natural Language processing to extract keywords.

numpy icon numpy

The fundamental package for scientific computing with Python.

oil-production-forecast icon oil-production-forecast

Oil production is the ultimate revenue for the companies. This model estimates future oil production based on previous years' production data. Hyperbolic forecast and ARIMA forecasts methods are applied which gave accuracy of RMSE 81.41 and 4141.40 respectively.

sde-interview-questions icon sde-interview-questions

Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

spam-classifier icon spam-classifier

A machine learning model designed to classify whether the mail is spam or not using naive bayes classification algorithm. The highest accuracy achieved is 98%.

yealy-amount-spent icon yealy-amount-spent

The code for the project is written in Python without use of sklearn. This project estimated yearly amount spent by customer on E-commerce website with accuracy of mean squared error of 291.

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