15+ Machine/Deep Learning Projects in Ipython Notebooks
-
Updated
Apr 3, 2020 - Jupyter Notebook
15+ Machine/Deep Learning Projects in Ipython Notebooks
Notebooks to help understand unsupervised clustering made for Central London Data Science Project Nights.
Some coding stuff from various machine learning books
ipython Notebook
notebooks Google Colab
List of Kaggle notebooks
If you liked my analysis, pls upvote my notebook!
This notebook focuses on the classification of Iris Species by its Sepal Length, Sepal Width, Petal Length and Petal Width.
📓 Visualization and training a basic ML model on the Iris dataset
This is practice notebook for Naive Bayes Classification on Iris Data Set.
A collection of Jupyter Notebooks for Intel Nervana's Deep Learning Platform (neon)
A beginner's models for the classification of Iris ,A study based jupyter notebook
In this notebook we'll see how to use KNN to classify the IRIS Flowers.
Jupyter notebooks and solutions for the Summer Analytics course by Consulting and Analytics club
This project deals with implementation of various machine learning models from scratch in python( jupyter notebook) without actually importing them from the sklearn library.
“under the hood” neural network for the Iris Flower Classification (100% accuracy) + Jupyter Notebook tutorial
Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
A raw implementation of K Nearest Neighbours (KNN) in Python.
Add a description, image, and links to the iris-dataset topic page so that developers can more easily learn about it.
To associate your repository with the iris-dataset topic, visit your repo's landing page and select "manage topics."