nikhileshwar-avs Goto Github PK
Name: Nikhileshwar AVS
Type: User
Company: PayPal
Bio: I am working as a Data Engineer at PayPal. I have a skillset in Big data technologies like Spark, Scala, Hadoop, and GCP and in analytics with python, tableau
Name: Nikhileshwar AVS
Type: User
Company: PayPal
Bio: I am working as a Data Engineer at PayPal. I have a skillset in Big data technologies like Spark, Scala, Hadoop, and GCP and in analytics with python, tableau
Estimating the rent in Paris using multiple linear regression with dummies variables.
Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.
NeMo: a toolkit for conversational AI
Train your model online using NLP Automation app!!!
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
A collection of my Kaggle contests and datasets I've worked with for practice.
🌸 Run large language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Post Graduate Diploma in Data Science Projects
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.
In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.
Week 1 assignment form Coursera's "Advanced Machine Learning - Introduction to Deep Learning"
A collective list of free APIs
My Python Examples
Python-Automation-Cookbook-Second-Edition, published by Packt
Cookiecutter template for testing Python scikit-learn regression learners.
ML Models - Logistic Regression, Liner Regression, Random Forest, Decision Tree, KNN, SVM, Lasso Ridge Regression, Hypothesis testing
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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.