guptaharshnavin
MS in CS (Data Science) Student at USC Viterbi. BTech in Computer Engineering. OCAJP Java SE 8. AWS CCP
Los Angeles, CA
Pinned Repositories
AbstractIt-Extractive-Text-Summarizer
Summarization of text using Extractive Summarization. Developed using Python with Spacy & sklearn.
DeepFlowerNet-Flower-Recognition-Using-Keras
Recognition of type of Flower from image using CNN, using Keras with Tensorflow backend
DisasterTweet-Detection-of-Fake-Disaster-Tweets
Classification of Disaster Tweets as REAL or FAKE using Machine Learning
Global-Terrorism-Analytics-Dashboard
Interactive Dashboard for Global Terrorism Analysis
iSpam-Spam-Message-Detector
Detect whether message is a SPAM or HAM, using Machine Learning Models
Loan-Approval-Prediction
Developed ML Model to predict whether a loan will be approved or not, based on various parameter, such as Marital Status, Income, etc.
Parkinson-Disease-Detection
Parkinson Disease Detection using Machine Learning
Prosper-Loan-Data-Analysis
Analysis of Loan Data from Prosper
Telecom-Customer-Churn-Analysis-And-Prediction
Predict whether a particular Telecom Customer will Churn or Not ?
WeRateDogs-Dog-Rating-Tweets-Analysis
Detailed Data Wrangling and Analysis of tweets of Dog Ratings from WeRateDogs.
guptaharshnavin's Repositories
guptaharshnavin/Parkinson-Disease-Detection
Parkinson Disease Detection using Machine Learning
guptaharshnavin/DeepFlowerNet-Flower-Recognition-Using-Keras
Recognition of type of Flower from image using CNN, using Keras with Tensorflow backend
guptaharshnavin/AbstractIt-Extractive-Text-Summarizer
Summarization of text using Extractive Summarization. Developed using Python with Spacy & sklearn.
guptaharshnavin/DisasterTweet-Detection-of-Fake-Disaster-Tweets
Classification of Disaster Tweets as REAL or FAKE using Machine Learning
guptaharshnavin/iSpam-Spam-Message-Detector
Detect whether message is a SPAM or HAM, using Machine Learning Models
guptaharshnavin/Loan-Approval-Prediction
Developed ML Model to predict whether a loan will be approved or not, based on various parameter, such as Marital Status, Income, etc.
guptaharshnavin/LR1_Parser
Implementation Of LR1 Parser Using Python 3
guptaharshnavin/AdmitLab-Graduate-Admission-Forecaster
Predict chances of admission, based on various parameters such as GRE, TOEFL scores and others.
guptaharshnavin/Global-Terrorism-Analytics-Dashboard
Interactive Dashboard for Global Terrorism Analysis
guptaharshnavin/Prosper-Loan-Data-Analysis
Analysis of Loan Data from Prosper
guptaharshnavin/Telecom-Customer-Churn-Analysis-And-Prediction
Predict whether a particular Telecom Customer will Churn or Not ?
guptaharshnavin/WeRateDogs-Dog-Rating-Tweets-Analysis
Detailed Data Wrangling and Analysis of tweets of Dog Ratings from WeRateDogs.
guptaharshnavin/Adult_Census_Income
guptaharshnavin/Coronary-Heart-Disease-Prediction
Prediction of Occurrence of Coronary Heart Disease using Machine Learning
guptaharshnavin/Credit-Card-Fraud-Detection
Detection Of Genuine & Fraudulent Credit Card Transactions
guptaharshnavin/guptaharshnavin
Personal Repository
guptaharshnavin/Hackerrank_Problem_Solving_Soln
This Repository Contains All The Codes That Have Successfully Executed For Hackerrank Problem Solving Questions
guptaharshnavin/Medical-Appointments-No-Show-Analysis
Analysis of Medical Appointment No-Shows using Python & Seaborn.
guptaharshnavin/Movielens_Recommendation_System
For this project, we make use of the Movielens 10M Dataset. The Movielens datasets were collected by the GroupLens Research Project at the University of Minnesota. In this project, we make a Recommendation System, which recommends movies to watch to the users, based on the various features that are present in the dataset, which are the features that are present in the ratings given by other users.
guptaharshnavin/OnlineHotelBookingSystem
Online Hotel Booking Management System. This repository contains all the files used to implement a web-based interface, connected to a backend database, to implement the desired system. The Web Interface is designed using HTML5,CSS3 & PHP5. The database used in the backend is MariaDB.
guptaharshnavin/Red-Wine-Quality-Prediction
Prediction Of Red Wine Quality Using Neural Network.
guptaharshnavin/ShareLab---Social-Media-Shares-Predictor