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Name: Akash (Sathya) Kothapalli
Type: User
Bio: Business Analyst | Machine Learning | Deep Learning & MLOps Enthusiast
Location: Bangalore
Name: Akash (Sathya) Kothapalli
Type: User
Bio: Business Analyst | Machine Learning | Deep Learning & MLOps Enthusiast
Location: Bangalore
Hackathon codes
Problems solved in AV
Catboost + Bayesian Optimization
Job-A-Thon conducted by AnalyticsVidya on 28th May 2021
Analytics Vidya Practice Problem on Time Series
Machine Learning Enigma Competition conducted by IIT(BHU)
Contest Link https://datahack.analyticsvidhya.com/contest/avdatafest-the-quicksolve
My code snippets for the problems. http://www.codingame.com/
Coursera - University of Washington Machine Learning Specialization
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
a curated list of R tutorials for Data Science, NLP and Machine Learning
Repo for the Deep Learning Nanodegree Foundations program.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Summaries and notes on Deep Learning research papers
:boom: displaCy.js: An open-source NLP visualiser for the modern web
A jazzy skin for the Django Admin-Interface (official repository).
A simple django app
Predict the lap time for the qualifying groups of multiple location
Basics of Full Stack Development for AI Projects covering (Queues, DB, Data Processing, Web Frameworks etc.)
This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Resources for "Introduction to Deep Learning" course.
Learnings on Kubernetes and its tools
Analysis on Kaggle 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.