shilpasayuraml Goto Github PK

keras-tutorials

Simple tutorials using Keras Framework

learn-data-science

Open Content for self-directed learning in data science

learn-machine-learning

Samples demonstrating how to use Scikit-learn to build machine-learning models

linear-regression

machine-learning-a-z

Repository For Codes And Concept Taught in Udemy Course

machine-learning-excel

Hands-On Machine Learning with Microsoft Excel, published by Packt

machine-learning-finance

Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri

machine-learning-for-algorithmic-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-for-cybersecurity-cookbook

Machine Learning for Cybersecurity Cookbook, published by Packt

machine-learning-for-developers

Code repository for Machine Learning for Developers, published by Packt

machine-learning-for-penetration-testing

Mastering Machine Learning for Penetration Testing, published by Packt

machine-learning-in-7-days

Python Machine Learning in 7 Days, published by Packt

machine-learning-projects

This Contain 9 Machine Learning Projects that I have done while understanding ML Concepts.

malware-detection-dl

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.

mastering-machine-learning

Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan

math-for-dl

Source code for the book "Math for Deep Learning" (No Starch Press)

math-for-machine-learning

Statistics and math for machine learning and data science

math-for-ml-ds

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.

matplotlib-tutorial

Source code to go along with my tutorial to learn data visualization with the matplotlib library of Python

ml-100

ml-android-app-inventor

This repository is about building an Android app using MIT App Inventor by using a ML model hosted as API on Ngrok.

ml-class

Machine learning lessons and teaching projects designed for engineers

ml-classification

ml-clustering

ml-competitions

Various notebooks covering machine learning concepts and Kaggle competitions (images)

ml-course

jupyter blog

ml-course-part-1

ml-course-part-2

ml-course-part-3

ml-course-part-4