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1. Richter-s-Predictor-Modeling-Earthquake-Damage Richter-s-Predictor-Modeling-Earthquake-Damage Public

   Based on aspects of building location and construction, our goal is to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.

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2. Identify-the-Sentiment Identify-the-Sentiment Public

   Sentiment analysis remains one of the key problems that has seen extensive application of natural language processing. This time around, given the tweets from customers about various tech firms who…

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3. Loan-Prediction Loan-Prediction Public

   Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Numb…

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4. Student-Performance Student-Performance Public

   This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was coll…

   Jupyter Notebook

5. Natural-Language-Processing-with-Disaster-Tweets Natural-Language-Processing-with-Disaster-Tweets Public

   In this competition, we’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. we’ll have access to a dataset of 10,000 tweets t…

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6. Sample-Front-End-App Sample-Front-End-App Public

   Home Page to SkateBoard WareHouse. HTML, CSS, JavaScript Technologies

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