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Name: Srisha Balaji
Type: User
Bio: Learning how machines learn
Name: Srisha Balaji
Type: User
Bio: Learning how machines learn
Property Investment ROI Calculator
Predict if a customer is happy or not based on the answers they give to questions asked
Handling imbalanced data to predict if customers will subscribe to a term deposit. Determine significant contributing features. Customer Segmentation to identify key customer groups to target the product to.
Building a CNN in Keras to train a classifier to predict class of the input image
Engineering composite modules to be installed on vehicles and roadside units to build a connected vehicular network with an objective to avert on-road accidents and provide assistance in case of fatalities
Handling imbalanced data with classification models to accurately detect whether a transaction is a normal payment or a fraud
Detailed analysis of a company's customer data to evaluate their operations and build a metric to assess the innate value of each customer.
UT Dallas - MS Business Analytics - Database Foundations - Assignments/Homework/Project - SQL - MongoDB
Artificial Neural Networks to determine probability of customer churn
Experiment and learn and with Apache Kafka
KMeans Clustering Essentials
A Random Forest classification model factorized into a Flask App and run via Docker
Simple, Content Based and Collaborative Filtering Approaches to making a Movie Recommender
Named Entity Recognition with a BiDirectional LSTM
Deep Dive Learning Material for Natural Language Processing
Recommend resale prices to users selling their used products an e-commerce app using natural language processing.
Utilizing Ensemble Models to Predict House Prices
Predicts salary based on job descriptions
A Personalized, Safe AI News Platform
Song Genre Classification with Audio Data
High-Resolution Image Synthesis with Latent Diffusion Models
Predict the upward/downward trend of google's stock price using a stacked LSTM RNN
Identify the most suitable candidates based on their LinkedIn headline with respect to input search tags utilizing NLP tecniques assessing a similarity score. Accomodate a supervisor signal to choose the most suitable candidate from the initial recommendations to generate new results.
Implemented regression models to predict house prices and classification models to segment people of varied income groups with an objective to target market appropriate houses to suitable buyers.
The classification goal is to predict if a bank's client will subscribe a term deposit or not where the target variable is imbalanced
Taking the titanic data set classification to the next level by experimenting with bagging, boosting and stacking
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.