Introduction to Machine Learning
This online course teaches students how to analyze data using a machine learning technique and introduces them to the principles of machine learning. Using Python and scikit-learn, it covers important topics like supervised and unsupervised learning, Naive Bayes, Support Vector Machines (SVM), Decision Trees, Linear Regression, Clustering, Feature Selection, PCA, Validation, and Evaluation Metrics. In order to apply machine learning techniques to real-world datasets, students also conduct practical projects.
- Provider/Creator: Udacity
- Platform: Udacity
- Category: Machine Learning
- Level: Intermediate
- Duration: ~4 weeks
- Certificate: Free course (Certificate unavailable)
- Rating: 4.6/5
- Direct Course Link: Introduction to Machine Learning
- Recommended For: Students, aspiring data scientists, AI enthusiasts, analysts, and professionals who want to build a strong foundation in machine learning.