11 open source projects by ashishpatel26

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

This is Andrew NG Coursera Handwritten Notes.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Four Courses Specialization Tensorflow in practise Specialization

Tools to Design or Visualize Architecture of Neural Network

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Data Science Cheat Sheet is help to remind code with in minute and also useful to recall the code.Collecting at one place so everyone can access easily and learn.In this we have collected all cheat sheet from the web which is contain basic learning for python and R with Machine Learning and Data Science.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

14 days Beginner Practical Guide of Machine Learning

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Awesome Pytorch Tutorials