shubha23 Goto Github PK
Name: Shubha
Type: User
Bio: CX | Metrics Design | Machine Learning | Data Science & Analytics Helping shape business decisions & strategies by leveraging the power of data!
Name: Shubha
Type: User
Bio: CX | Metrics Design | Machine Learning | Data Science & Analytics Helping shape business decisions & strategies by leveraging the power of data!
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Prediction of user convergence rate based on past user behaviours
Rule-based expert system for prediction of a patient's survival within 5 years of undergoing breast cancer surgery & its comparison with ML classification techniques.
Application of K-means clustering. Prediction of customer churn using Multi-layer Perceptron ANN, Logistic Regression, SVM-RBF and Random Forest Classifier.
Fake new detection using text classification as real or fake news segments. Required installations - Python 3.8, NLTK, Scikit-Learn, Jupyter. Text cleaning, tokenization, vectorization, classification model generation and evaluation.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Application of Machine learning & Feature Selection techniques for Classification of Phishing Websites
Application of Linear, AdaBoost, RandomForest Regressors and Ordinary Least Square method for projecting customer insurance charges.
Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.
Samples for users of the Yelp Academic Dataset
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.