Anand Nettem 's repositories
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New-York-City-Taxi-Fare-Prediction
In this challenge we are given a training set of 55M Taxi trips in New York since 2009 in the train data and 9914 records in the test data. The goal of this challenge is to predict the fare of a taxi trip given information about the pickup and drop off locations, the pickup date time and number of passengers travelling.
kaggle-new-york-city-taxi-fare-prediction
My solution of the New York City Taxi Fare Prediction competition of Kaggle
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Amazon-Product-Recommender-System
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
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Kaagle-Titanic-Survival-prediction
By Applying Machine learning tools we have to predict whether passeneger is survived or not in Titanic Tragedy.
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