shilpasayuraml Goto Github PK
Name: Shilpa Sayura AI
Type: User
Location: Sri Lanka
Name: Shilpa Sayura AI
Type: User
Location: Sri Lanka
Simple tutorials using Keras Framework
Open Content for self-directed learning in data science
Samples demonstrating how to use Scikit-learn to build machine-learning models
Repository For Codes And Concept Taught in Udemy Course
Hands-On Machine Learning with Microsoft Excel, published by Packt
Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Machine Learning for Cybersecurity Cookbook, published by Packt
Code repository for Machine Learning for Developers, published by Packt
Mastering Machine Learning for Penetration Testing, published by Packt
Python Machine Learning in 7 Days, published by Packt
This Contain 9 Machine Learning Projects that I have done while understanding ML Concepts.
Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malware files. Then, by the trained model, we try to classify a file as malware or not. By using malware images and deep learning, we can detect malware fast since we do not need any static analysis or dynamic analysis.
Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
Source code for the book "Math for Deep Learning" (No Starch Press)
Statistics and math for machine learning and data science
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
Source code to go along with my tutorial to learn data visualization with the matplotlib library of Python
This repository is about building an Android app using MIT App Inventor by using a ML model hosted as API on Ngrok.
Machine learning lessons and teaching projects designed for engineers
Various notebooks covering machine learning concepts and Kaggle competitions (images)
jupyter blog
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.