TensorFlow Tutorials with YouTube Videos

Python Helper library for Jupyter Notebooks

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

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

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.

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

Fourier Optics Demos and Tutorials

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

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.

Udacity Self Driving Car Engineer Nanodegree

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.

introduction to machine learning notebooks for physics education researchers

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

Assignments for the course Computational Numeric Methods, taught by Dr. Arnab Kumar Ray

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

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

Notebooks for Kaggle Comptetitions in Python

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

Monitor Watson Machine Learning Model with Watson OpenScale on Cloud Pak for Data

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

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

Simple BLSTM-MLP for sensor data classification

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

GitHub Action that runs flake8 code checks on Python code within Jupyter Notebooks

Train an MNIST CNN classifier