Slides and notebooks for my tutorial at PyData London 2018
-
Updated
Jul 2, 2018 - Jupyter Notebook
Slides and notebooks for my tutorial at PyData London 2018
Repository of all notebooks used in the ML-DL101 event for explaining basics of machine learning and deep learning.
This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
This repository houses a diverse collection of projects developed using Jupyter Notebooks, focusing on testing various machine learning pipelines, neural network models, and statistical machine learning approaches. Through exploration of different datasets, the projects delve into predictive modeling, classification tasks, and in-depth analyses.
Add a description, image, and links to the multilayer-perceptron topic page so that developers can more easily learn about it.
To associate your repository with the multilayer-perceptron topic, visit your repo's landing page and select "manage topics."