Applied Machine Learning with Python
Completed by Chandan Chitturi
January 28, 2026
14 hours (approximately)
Chandan Chitturi's account is verified. Coursera certifies their successful completion of Applied Machine Learning with Python
What you will learn
Explore machine learning algorithms, including supervised, unsupervised, and semi-supervised methods.
Apply decision trees, random forests, and K-means clustering for classification and clustering.
Develop machine learning models to gain insights and make predictions from real-world data.
Enhance model accuracy by applying model-boosting techniques and evaluating their effectiveness.
Skills you will gain
- Category: Logistic Regression
- Category: Machine Learning
- Category: Model Optimization
- Category: Classification Algorithms
- Category: AI Personalization
- Category: Model Training
- Category: Driving engagement
- Category: Data Analysis
- Category: Persona (User Experience)
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Supervised Learning
