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Name: Chaitanya Potnis
Type: User
Bio: Specialised in designing and building scalable Machine Learning products and solutions
Location: New York, New York
Name: Chaitanya Potnis
Type: User
Bio: Specialised in designing and building scalable Machine Learning products and solutions
Location: New York, New York
Baisc Deep Learning Model
Identify spam messages is a binary classification problem as messages are classified as either 'Spam' or 'Not Spam'
Created Customer Segments using Unsupervised Learning techniques like Principal Component Analysis , KMeans Clustering and Gaussian Mixture Models.
Density-based spatial clustering of applications with noise (DBSCAN)
Predicting whether customer will churn or not using Deep Neural Network
Comparing Deep Networks vs Shallow Networks
Gaussian Mixture Models Clustering and Cluster Validation
Performing Hierarchical Clustering on Iris Data Set
ICA to retrieve original signals from three observations each of which contains a different mix of the original signals.
k-means Clustering on Movie Ratings and finding how rating contribute to a movie recommendation system for users
K-Fold Cross Validation on Social Network Ads Network
Performing Linear Discriminant Analysis on Wine Quality Dataset
Build a Linear Regression model to help the company decide to go with mobile app or website.
Indicating whether or not a particular internet user clicked on an Advertisement on a company website
CS 691/692 Project 4: Machine Learning using Mortgage Credit Analysis
Applying Principal Component Analysis on Breast Cancer Wisconsin Data.
Trying to classify and predict whether or not the borrower paid back their loan in full.
Comparing Supervised Learning Classification Algorithm on Social Network Ads DataSet
Analyzing the famous iris data set and predicting the "species" using Support Vector Machines.
Predicting the Survival of Titanic Passengers
Using XGBoost on Customer Churn 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.