Pinned Repositories
affiliate_rewwide.github.io
Asha-maa
Asha-maa-foundation
dplyr
dplyr: A grammar of data manipulation
Identify-the-Sentiment
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 manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products
Loan-Prediction
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, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, we have been provided a data to identify the customers segments that are eligible for loan amount so that they can specifically target these customers.
Natural-Language-Processing-with-Disaster-Tweets
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 that were hand classified.
Richter-s-Predictor-Modeling-Earthquake-Damage
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.
Sample-Front-End-App
Home Page to SkateBoard WareHouse. HTML, CSS, JavaScript Technologies
Student-Performance
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 collected by using school reports and questionnaires.
gauravsahu8691's Repositories
gauravsahu8691/dplyr
dplyr: A grammar of data manipulation
gauravsahu8691/Richter-s-Predictor-Modeling-Earthquake-Damage
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.
gauravsahu8691/affiliate_rewwide.github.io
gauravsahu8691/Asha-maa
gauravsahu8691/Asha-maa-foundation
gauravsahu8691/Identify-the-Sentiment
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 manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products
gauravsahu8691/Loan-Prediction
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, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, we have been provided a data to identify the customers segments that are eligible for loan amount so that they can specifically target these customers.
gauravsahu8691/Natural-Language-Processing-with-Disaster-Tweets
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 that were hand classified.
gauravsahu8691/Sample-Front-End-App
Home Page to SkateBoard WareHouse. HTML, CSS, JavaScript Technologies
gauravsahu8691/Student-Performance
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 collected by using school reports and questionnaires.
gauravsahu8691/FoodAppUIReactNative
gauravsahu8691/Language_Identification
it is a language identifier that detect different languages.
gauravsahu8691/Mall-Customer
Dataset Link : https://www.kaggle.com/shwetabh123/mall-customers
gauravsahu8691/Online-Grocery-Store
Online Grocery Store is an eCommerce based web application for our Web Programming project. We had developed a sample in which user can search and find necessary information about any grocery item, can proceed to checkout to buy products. User can create an account, update personal information, can check its past activities, orders and transactions, and cart items.
gauravsahu8691/Pump-It-Up
gauravsahu8691/Rain-In-Australia
gauravsahu8691/scikit-learn
scikit-learn: machine learning in Python
gauravsahu8691/Stroke-Prediction-Dataset
gauravsahu8691/twitter-data
gauravsahu8691/website.github.io