kaistha23 Goto Github PK
Name: Gautam kaistha
Type: User
Bio: Data Scientist - Fraud Analytics, Insurance (Personal & Commercial) , Payments fraud, Model Deployment
Location: Bangalore
Name: Gautam kaistha
Type: User
Bio: Data Scientist - Fraud Analytics, Insurance (Personal & Commercial) , Payments fraud, Model Deployment
Location: Bangalore
multi-dimensional, multi-sensor, multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly predictor
PiML (Python Interpretable Machine Learning) toolbox for model development and model validation
Documentation for creating visuals for Power BI
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
This project applies basic machine learning concepts on Ames Housing dataset to predict the selling price of a new home.
Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.
:snake: Python Programs
GeoIP database access for Python under a BSD license.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python Data Science Handbook: full text in Jupyter Notebooks
A collection of datasets originally distributed in R packages
R DBI-compliant interface to Netezza
A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
scikit-learn: machine learning in Python
machine learning with logical rules in Python
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
TensorFlow Tutorial 2: Image Classification Walk-through
A collection of tutorials on neural networks, using Theano
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Statistical analysis and visualization of state transition phenomena
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.