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Code for some of my articles

Home Page: https://gilberttanner.com/

License: MIT License

Shell 0.01% Python 0.48% C# 0.14% HTML 0.02% Jupyter Notebook 99.37% Procfile 0.01%

tannergilbert-tutorials's Introduction

Tutorials

This repository contains the code for all my articles and videos.

Name	Article	Video	Code
Generating text using a Recurrent Neural Network	Link	-	Link
Building a book Recommendation System using Keras	Link	Link	Link
Introduction to Web Scraping with BeautifulSoup	-	-	Link
Scraping Reddit data	Link	-	Link
Introduction to Deep Learning with Keras	Link	-	Link
Introduction to Data Visualization in Python	Link	-	Link
Live Object Detection with the Tensorflow Object Detection API	-	-	Link
FastAI Image Classification	-	-	Link
FastAI Multi-label image classification	-	-	Link
Introduction to Uber’s Ludwig	-	-	Link
Productionizing your Machine Learning model	-	-	Link
Creating a discord sentiment analysis bot using VADER	-	-	Link
FastAI Image Segmentation	-	-	Link
Collaborative filtering with FastAI	-	-	Link
FastAI Sentiment Analysis	-	-	Link
Uber Ludwig Applications	-	-	Link
Introduction to Ensemble Learning	-	-	Link
Introduction to Machine Learning in C# with ML.NET	Link	-	Link
Turn your data science scripts into websites with Streamlit	Link	-	Link
Deploying your Streamlit dashboard with Heroku	Link	-	Link

Author

Gilbert Tanner

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License

This project is licensed under the MIT License - see the LICENSE.md file for details

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