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Name: Rohan Dhupar
Type: User
Bio: detective since 1996
Name: Rohan Dhupar
Type: User
Bio: detective since 1996
PERSONAL SECRATORY
Indian judge name entity extraction project
Job was to identify segment's of different customer landing on departmental store so that wholesale distributor can make out it's further decision regarding distribution scheme of 5 days to 3 days , A/B testing , using unsupervised learning and principal component analysis finding out correct no of components , elbow method and silhouette analysis of clustering Size = 400 Customer's Data
Projects done in the Data Engineer Nanodegree Program by Udacity.com
Projects done in the Data Engineering Nanodegree by Udacity.com
notebooks produced throughout the Udacity's Nanodegree Data Engineering Course
Collaborative Filtering is a method used by recommender systems to make predictions about an interest of an specific user by collecting taste or preferences information from many other users. The technique of Collaborative Filtering has the underlying assumption that if a user A has the same taste or opinion on an issue as the person B, A is more likely to have B’s opinion on a different issue. In this project I predict the ratings a user would give a movie based on this user's taste and the taste of other users who watched and rated the same and similar movies.
A repository where devops assignments have been practised
Problem statement Intent detection on Enron email set. We define "intent" here to correspond primarily to the categories "request" and "propose". In some cases, we also apply the positive label to some sentences from the "commit" category if they contain datetime, which makes them useful. Detecting the presence of intent in email is useful in many applications, e.g., machine mediation between human and email. The dataset contains parsed sentences from the email along with their intent (either 'yes' or 'no'). You need to build a learning model which detects whether a given sentence has intent or not. Its a 2-class classification problem. Although its not required you can refer this paper for more information on the dataset : Cohen, William W., Vitor R. Carvalho, and Tom M. Mitchell. "Learning to Classify Email into``Speech Acts''." EMNLP. 2004.
Web scraped data from New york times and kaggle dataset to build dataset and to fake news classifier
Analysing various flight arrival and departure delay Analysing particular flight of each category arrival and departure delay Multivariate analysis on Arrival delay , Departure Delay and Distance Plotting charts on various analysis Statistical Modelling Size= 1 lakh record's
Fraud Detection in financial data using auto-encoders deploy-able code
we will use the pipeline we have been building, and apply it to a real world data pipeline project. From a JSON API, we will filter, clean, aggregate, and summarize data in a sequence of tasks that will apply these transformations for us. The data we will use comes from a Hacker News (HN) API that returns JSON data of the top stories in 2014. If you're unfamiliar with Hacker News, it's a link aggregator website that users vote up stories that are interesting to the community. It is similar to Reddit, but the community only revolves around on computer science and entrepreneurship posts.
Job was to analyse various correlative reason's of employees leaving the company , analysis on what types employees are suffering from this , finding-out in which dept these employees's are showing there presence , prediction of each individual of each dept of whether they leave or not , accuracy and precision on that model , model evaluation size = 15000 employees
image segmentation project going in IEEE In collaboration with GITAM University , research used was of wavelet transformation with CNN on two dataset Paviau and Indian pines
Python script for extraction of pixel data from CIFAR10 images
Vector database for scalable similarity search and AI applications.
Sentiment analysis is a challenging subject in machine learning. People express their emotions in language that is often obscured by sarcasm, ambiguity, and plays on words, all of which could be very misleading for both humans and computers. There's another Kaggle competition for movie review sentiment analysis. The labeled data set consists of 50,000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of reviews is binary, meaning the IMDB rating < 5 results in a sentiment score of 0, and rating >=7 have a sentiment score of 1. No individual movie has more than 30 reviews. The 25,000 review labeled training set does not include any of the same movies as the 25,000 review test set. In addition, there are another 50,000 IMDB reviews provided without any rating labels. Accuracy at two epochs with my deep stack models .95 and AUC score 1.00 with F1 - score .94
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.