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  • πŸ‘‹ Hi, I’m Santosh Paul
  • πŸ‘€ I’m interested in data science.
  • 🌱 I’m currently learning Machine learning, Data science, Deep learning.
  • πŸ’žοΈ I’m looking to get an opportunity to work with a esteemed organisation to improve my skills and also contribute for its growth.
  • πŸ“« Find me on likedin and facebook.

SANTOSH KUMAR PAUL's Projects

discounted-price-prediction icon discounted-price-prediction

Machine Learning Project which predict the discounts on the products avalaible on Amazon and Flipkart This is the capstone project of Summer Analytics, a primer course on Data Science, conducted by Consulting and Analytics Club of IIT Guwahati. Description Artificial Intelligence is an integral part of all major e-commerce companies today. Today's online retail platforms are heavily powered by algorithms and applications that use AI. Machine learning is used in a variety of ways, from inventory control and quality assurance in the warehouse to product recommendations and sales demographics on the website. Let’s say you want to create a promotional campaign for an e-commerce store and offer discounts to customers in the hopes that this might increase your sales. You have been provided descriptions of products on Amazon and Flipkart, including details like product title, ratings, reviews, and actual prices. In this challenge, you will predict discounted prices of the listed products based on their ratings and actual prices.

fakenewsdetection-using-nltk-ml icon fakenewsdetection-using-nltk-ml

This project predict the authenticity if the news headlines. Based on the previous news headlines the model is trained and test data is provided after the authenticity of the news is predicted.

machine-learning-01 icon machine-learning-01

In this regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied. This is a simple linear regression task as it involves just two variables.

python-for-data-science- icon python-for-data-science-

It contains the notebook of jupyter notebook which comprised with basic and advanced concepts of python for data science.

stock-price-prediction-using-numerical-and-sentimental-analysis. icon stock-price-prediction-using-numerical-and-sentimental-analysis.

This a project which predicts the stock price of Tesla for a given time period & based upon the previous 10 years of historical data. Here, numerical and sentimental analysis is performed with the help of natural language toolkit (NLKT), Textblob, sklearn etc. By observing the previous trends of the market stock price and sentiments of the news about the market, this model predicted the future variation of the stock market price of TELSA. Basically, four models were trained with the same dataset like: Random Forest, AdaBoost, LGBM & xgboost out of these model LGBM model predicted with the least mean squared error value.

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