Applied Machine Learning with Python
Completed by MUHAMMAD KHAN AFRIDI
June 9, 2025
14 hours (approximately)
MUHAMMAD KHAN AFRIDI'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: Machine Learning Methods
- Category: Data Analysis
- Category: Driving engagement
- Category: Model Optimization
- Category: Model Training
- Category: Model Evaluation
- Category: AI Personalization
- Category: Persona (User Experience)
- Category: Classification Algorithms
- Category: Supervised Learning
