Course

Clustering Geolocation Data Intelligently in Python

Coursera Project Network

In this 1.5-hour project, you will master the art of cleaning and preprocessing geolocation data for clustering in Python. The course equips you with the skills to create interactive visualizations and implement clustering techniques using K-Means, DBSCAN, and HDBSCAN algorithms.

  • Clean and preprocess geolocation data for clustering
  • Visualize geolocation data interactively using Python
  • Apply K-Means and DBSCAN clustering algorithms
  • Evaluate the effectiveness of clustering models
  • Enhance clustering with HDBSCAN

Certificate Available ✔

Get Started / More Info
Clustering Geolocation Data Intelligently in Python
More Machine Learning Courses

MLOps | Machine Learning Operations

Duke University

Embark on a comprehensive MLOps journey, mastering Python, MLflow, Hugging Face, and cloud platforms for ML solutions.

Guided Tour of Machine Learning in Finance

New York University

This course provides an introductory overview of machine learning in finance, focusing on practical applications. It is designed for practitioners, individuals interested...

Neural Network from Scratch in TensorFlow

Coursera Project Network

Learn to implement a Neural Network model in TensorFlow from scratch and solve multi-class classification problems in this 2-hour project-based course.

بناء نموذج تعلم الآلة باستخدام Power BI

Coursera Project Network

بناء نموذج تعلم الآلة باستخدام Power BI