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Type: User
Bio: D. Bharath Reddy
Type: User
Bio: D. Bharath Reddy
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Answers to 120 commonly asked data science interview questions.
For the next 30 days, learn the Python Programming language.
NPS sentiment analysis
Splunk App giving access to ACT data
Air pollution prediction using meteorological data using Flask, Machine Learning, nginx and wsgi.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Notebooks for the Algorthmic Machine Learning class @ Eurecom
Fraud detection on E commerce Data
Anomaly detection algorithm implementation in Python
Expose python machine learning project as REST API
A Web App to predict rent of house.
All Assumptions of Linear Regression
For popular software systems, the number of daily submitted bug reports is high. Triaging these incoming bugs is a time consuming task. Major part of bug triaging is the assignment of a bug report to a developer with the appropriate expertise, who can resolve/fix the bug without reassigning to some other developer. We present an approach to automatically suggest developers who have the appropriate expertise for handling a bug report based on the identified software component the bug may reside in, obtained from the short description of the bug report. Our work is first to examine the impact of multiple machine learning dimensions( classifiers and training history) along with the ranked list of developers for prediction accuracy in bug assignment. We validate our approach on Eclipse Bugzilla covering 2,868,000 bug reports consisting of 253 components. We demonstrate that our techniques can achieve up to 93% prediction accuracy in bug assignment and significantly reduce the aberrant assignment of bugs. We compared the prediction time for our dataset using various algorithms such as Naive Bayes Text Classifier, Multinomial Naive Bayes and Linear SVM. We arrived at a conclusion that SVM provides higher prediction time and less learning time.
A Machine Learning approach to automatically assign bug reports to appropriate developers.
Automatic bug triaging is a research prototype, a decision support platform for guiding a bug triager for resolver recommendation using textual and non textual features. This automates the bug triaging. It involves machine learning, data mining, data science, visualization and information retrieval concepts.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
A curated list of awesome machine learning interpretability resources.
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
Code for final project for course Advanced Mining and Web Analytics
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
Working code samples for the blog post series: Introduction to hypothesis testing
Bug Prioritization Using ML Techniques - data science project for Galvanize
feature extraction from JIRA
A simple tool to automate clicking the "_bump" button to a Splunk instance
Tutorial for exploring FHIR data with Apache Spark in an interactive notebook
Building a simple Python application - Calendar Application Tutorial
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.