Learn Programming Language R
This course is designed to provide learners with advanced skills in data manipulation, statistical modeling, data visualization, and machine learning using R. It aims to equip users with practical techniques and strategies that can be applied in real-world data analysis scenarios. Participants will learn to clean and reshape data, implement statistical models, create dynamic visualizations, and leverage machine learning algorithms effectively.
Advanced Data Manipulation in R
Statistical Modeling in R
Data Visualization Techniques
Machine Learning with R
Performance Optimization and Debugging
R for Big Data
Unsupervised Learning and Clustering
Unsupervised learning is critical for discovering hidden patterns in data. Mastering clustering techniques allows users to segment data effectively, which is useful in applications like customer segmentation and anomaly detection.
Le clustering de A à Z (k-means, gaussian mixture, DBSCAN, hierarchical clustering)
Unsupervised Learning in R: The Superpower You Need!
Clustering avec KMeans dans R + Exemple concret de Segmentation de la clientèle d'une entreprise