jatinarutla Goto Github PK
Name: Jatin Arutla
Type: User
Bio: Data Science and Machine Learning Enthusiast | Competitive Programmer
Name: Jatin Arutla
Type: User
Bio: Data Science and Machine Learning Enthusiast | Competitive Programmer
2-D and 3-D Brain MRI segmentation
Performing EDA and implementing ML algorithms to identify fraudulent credit card transactions using undersampling and oversampling techniques.
Telecom Churn Analysis and Prediction using SMOTE oversampling and a Voting Classifier achieving an accuracy of 85.4%. The behaviour of the customers is predicted to help retain them.
A simple task manager application developed using Flask deployed on Heroku. The link to the site: https://flasktaskmanagerapp101.herokuapp.com/
Classifying Handwritten Digits using Multi-layer Perceptron, which is a class of feed forward Artificial Neural Networks (ANN) and Tensorflow with an accuracy of 97.74%
Performed EDA and compared KNNs, Decision Trees, Logistic Regression, Naive Bayes, Random Forest on Cleveland Database.
Performing Image classification using Multilayer Perceptron, a class of feedforward Artificial Neural Network (ANN).
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
The code from the Machine Learning Bookcamp book and a free course based on the book
Performing Neural/ Image Style Transfer using CNN to compose an image in the style of another image.
Visualizing and analyzing performance of Premier League players with respect to various parameters using Power BI.
Resume
Aspect-based sentiment-analysis of technical product reviews.
Sentiment Analysis is implemented on the IMDB Dataset of 50K Movie Reviews using Logistic Regression and LSTM achieving an accuracy of 89.88%.
Predicting the best location for business startups in a particular neighborhood using K-Means clustering.
Quantitative Text Analysis for the digitale Geisteswissenschaften
KAGGLE COMPETITION: Using a Random Forest Classifier to create a model that predicts which passengers survived the Titanic shipwreck achieving an accuracy of 83%.
A TV show recommendation app that recommends users Netflix shows which are similar to their selection.
Weakly supervised lung disease localization with self-supervised mask-guided convolutional networks
Classifying images of people into their respective yoga pose’s class.
Classifying unseen food dishes using Zero-shot learning achieving a Top-5 accuracy of 91%.
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.