python-notebook

TensorFlow Tutorials with YouTube Videos

Create UIs for your machine learning model in Python in 3 minutes

Python Helper library for Jupyter Notebooks

How to improve a 14% your image matching with only one line of code? BEBLID is the key!

A Deep NN used to generate stories which will tingle your butt.

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)

Pyspark Notebook With Docker

Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

Basics of the mathematical and visualization libraries required to learn machine learning

Hands-on Machine Learning with Scikit-Learn and Tensorflow 2nd edition notes along with code.

Fourier Optics Demos and Tutorials

Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.

This code pattern will demonstrate a methodology to show how we can get analytical insights and visualisations from raw data on the Web.

Code Analysis and Coding Assistant for Chrome

Code for analysis and results generated in the paper "COVID-19 and the Drug Overdose Crisis: Uncovering the Deadliest Months in the United States, January-July 2020" Published in AJPH 2021

Python assignments for the deep learning class by Andrew ng on Coursera.

This system is developed as a part of capstone project for Statistical Machine Learning course. The system recommends restaurants to Yelp users based on their reviews history in the Yelp database.

Exercises in Python notebook to implement the RSA encryption algorithm, and figure out if huge numbers are primes via Fermat test. Explanation provided via comments in Japanese.

Materials from my talk on neural networks given to Py Data Denver in March 2017

Scripts y ejemplos para la materia Teoria de Circuitos II - UTN FRBA

introduction to machine learning notebooks for physics education researchers

Save content from Torrent to Google drive in seconds

Udacity Self Driving Car Engineer Nanodegree

Welcome to a tour of Machine Learning. Python assignments for the machine learning class by Andrew ng on Coursera.

Collection of notes, papers, and python notebooks for ECE 5714 Robust Estimation and Filtering at Virginia Tech.

This repository contains the ipython notebook of covid19 study. This notebook was made possible in kaggle. Changes and improvements are always welcome.

This i python notebook contains the code for logistic regression with a neural network mindset.

Repository contains notebooks and datasets on no. of flights departures, passengers flew, flights crashed etc.