benjaminwilson / Python Clustering Exercises
Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn
Stars: ✭ 153
Programming Languages
python3
1442 projects
Projects that are alternatives of or similar to Python Clustering Exercises
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+1120.92%)
Mutual labels: jupyter-notebook, notebook, scikit-learn, clustering
Text Analytics With Python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (+639.87%)
Mutual labels: jupyter-notebook, scikit-learn, clustering
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+890.85%)
Mutual labels: jupyter-notebook, scikit-learn, clustering
Pqkmeans
Fast and memory-efficient clustering
Stars: ✭ 189 (+23.53%)
Mutual labels: jupyter-notebook, scikit-learn, clustering
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1335.95%)
Mutual labels: jupyter-notebook, scikit-learn, clustering
Fastdoc
Create publication-quality books from Jupyter notebooks
Stars: ✭ 134 (-12.42%)
Mutual labels: jupyter-notebook, notebook
Machine Learning Projects
This repository consists of all my Machine Learning Projects.
Stars: ✭ 135 (-11.76%)
Mutual labels: jupyter-notebook, clustering
Image classifier
CNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-9.15%)
Mutual labels: jupyter-notebook, notebook
Py4chemoinformatics
Python for chemoinformatics
Stars: ✭ 140 (-8.5%)
Mutual labels: jupyter-notebook, scikit-learn
Dive Into Machine Learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
Stars: ✭ 10,810 (+6965.36%)
Mutual labels: jupyter-notebook, scikit-learn
Interactive machine learning
IPython widgets, interactive plots, interactive machine learning
Stars: ✭ 140 (-8.5%)
Mutual labels: jupyter-notebook, scikit-learn
Ml Forex Prediction
Predicting Forex Future Price with Machine Learning
Stars: ✭ 142 (-7.19%)
Mutual labels: jupyter-notebook, scikit-learn
Hep ml
Machine Learning for High Energy Physics.
Stars: ✭ 133 (-13.07%)
Mutual labels: jupyter-notebook, scikit-learn
Pydata Chicago2016 Ml Tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
Stars: ✭ 128 (-16.34%)
Mutual labels: jupyter-notebook, scikit-learn
Qlik Py Tools
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Stars: ✭ 135 (-11.76%)
Mutual labels: scikit-learn, clustering
Ipyexperiments
jupyter/ipython experiment containers for GPU and general RAM re-use
Stars: ✭ 128 (-16.34%)
Mutual labels: jupyter-notebook, notebook
Ml Workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1427.45%)
Mutual labels: jupyter-notebook, scikit-learn
Face generator
DCGAN face generator 🧑.
Stars: ✭ 146 (-4.58%)
Mutual labels: jupyter-notebook, notebook
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Stars: ✭ 151 (-1.31%)
Mutual labels: jupyter-notebook, scikit-learn
Ml Dl Scripts
The repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (-22.22%)
Mutual labels: jupyter-notebook, clustering
Python Clustering Exercises
Exercises for k-means clustering with Python 3 and scikit-learn as Jupyter Notebooks, with full solutions provided as notebooks and as PDFs. These exercises teach the fundamentals of k-means using some great real-world datasets, including stock price movements, measurements of fish and seed dimensions.
From the course Transition to Data Science. Buy the entire course for just $10 for many more exercises and helpful video lectures. Also available at DataCamp.
Requirements
To use these exercises you'll need Python 3 and recent versions of scikit-learn and pandas. The easiest way to get started is to install the free Anaconda distribution.
License
Free for personal and non-commerical educational use, so long as the links to the course are not removed from any of the files.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].