kushalvenkatesh Goto Github PK
Name: kvenkat
Type: User
Bio: cybersecurity specialist..data protection, pen testing - Application Security, SAST, DAST, Secure Code Reviews, Web Application Security, Vulnerability Scanning
Name: kvenkat
Type: User
Bio: cybersecurity specialist..data protection, pen testing - Application Security, SAST, DAST, Secure Code Reviews, Web Application Security, Vulnerability Scanning
JUNIT Tutorial For Beginners
Jupyter metapackage for installation, docs and chat
Create an online book with Jupyter Notebooks and Jekyll
A distributed publish/subscribe messaging service
lab7-giraph-pagerank
This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.
Open Content for self-directed learning in data science
A quiz application using Django framework.
About: This is a Linear Regression Model made in Python (only two external dependencies; Numpy and Pandas). This Model Predicts the house prices from the Famous Boston House Pricing Dataset. The Best thing about this model is that it is made from scratch, i.e, I have not used any High-level Libraries such as Tensorflow, Torch, Scikit-learn, etc. This makes the overall model performance much Customised and Easier.
A List of Recommender Systems and Resources
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Workshop on Machine Learning in Python
This project explores the use of ML in the legal sector.
Contains the Course Material and Assignment Solutions for the Machine Learning Course at Stanford University on Coursera.
Python codes for common Machine Learning Algorithms
This project contain some machine learning algrithm demo.Maybe the code is also useful to you.
Starter files for Pluralsight course: Understanding Machine Learning with Python
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
matplotlib: plotting with Python
A set of tutorial codes about matrix methods in Hadoop
Megagrep helps beginning a code review by searching for keywords in the code using "grep". It does not search for vulnerabilities directly but for places where you could manually find some.
Python repo to extract metadata from a variety of documents (MS Office docs, PDF, images)
A package to access outputs from Numerical Weather Prediction models both in raster format and as a time series for a location
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
machine learning application in python
Python code for Machine Learning course from Coursera
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.