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Name: Raj Mehrotra
Type: User
Bio: Data Scientist | Kaggle Master | Published Author | Topmate: https://topmate.io/raj_mehrotra
Location: Hyderabad, Telangana
Name: Raj Mehrotra
Type: User
Bio: Data Scientist | Kaggle Master | Published Author | Topmate: https://topmate.io/raj_mehrotra
Location: Hyderabad, Telangana
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
The famous Amazon fine food reviews dataset on Kaggle for text classification. I have performed sentiment analysis on the dataset using different techniques. Please see readme for details.
CSE Third Year (Semester 5) Individual Project - Mobile Version (Android)
Appdichat is mobile chatting application with many features. You can register and login with the application. Also you can send friend request to your friends and accept or decline the requests received. You can also chat in real time with your friends and also see a list of the people using the application. A user can also build his profile by setting his display profile picture and set the status. Also you can view the profile of all your friends and know the number of mutual friends. The application uses Java, XML and the Firebase realtime database.
The most cited deep learning papers
A curated list of awesome embedding models tutorials, projects and communities.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
The guide to tackle with the Text Summarization
A basic guide to implement fundamental NLP techniques like text normalization, text similarity etc... through NLTK library and Spacy.
Bike Sharing Demand.
A SIMPLE CALCULATOR APPLICATION IN ANDROID. I HAVE USED JAVA AND XML FOR THE LAYOUT. THE CALCULATOR HAS BASIC OPERATIONS AND SOME OTHER UTILITY FUNCTIONS.
The famous Cats-vs-Dogs dataset. I have used a self laid ConvNet to classify the image into 2 classes either a Dog or a Cat. The images used are of 100*100 pixels each. The images are first converted to the numpy array of pixel values using the python ZipFile module. The images are then divided into the training ,cross-validation,testing set containing 20000 , 5000 , 12500 images respectively. Also I have used data augmentation technique to avoid chances of overfitting the model. Finally I achieved a decent accuracy of about 88 % on the validation set.
Machine learning on the CHB-MIT scalp EEG database
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
A complete computer science study plan to become a software engineer.
Large datasets for conversational AI
A small Android application for the Operating System Lab Project. The application implements a short term scheduler. The user enters the details of the various processes and then chooses one among the many options for the CPU scheduling algorithm. The application then displays the sequence in which the processes will be executed and also various other quantities like waiting time,turn around time for a process etc..
Convolutional Neural Networks
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Android SDK for Dialogflow
EEG Features to be extract from raw data.
The dataset is Flower Recognition on Kaggle. The dataset consists of 4232 images each of different pixel values. Each of the image can be classified into either of 5 types-> 'Daisy','Rose' etc... . I have trained Convolutional Neural Network written in Keras to predict the flower on the validation set. Also used ImageDataGenerator to augment the training set and avoid overfitting problem .
The Gender Recognition by Voice dataset from kaggle. The dataset consists of 3168 voice samples each of which has 20 different acoustic properties and the target variable is the 'gender' or the 'label'. I have done exhaustive EDA to analyze the data and the underlying trends. Also the outliers have been detected and removed for better performance. I have also done significant feature engineering by adding couple of new relevant features. Also I have normalized the data for better performance. Lastly I have used many classification algos. from the scikit to predict the 'gender' from the voice sample. For me SVM gives highest accuracy of about a little more than 99.1 %.
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.