Applied Machine Learning with Python
Completed by MD MAHFUZUR RAHMAN
August 21, 2025
14 hours (approximately)
MD MAHFUZUR RAHMAN'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: Model Optimization
- Category: Logistic Regression
- Category: Machine Learning
- Category: Supervised Learning
- Category: Driving engagement
- Category: Data Analysis
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Model Training
- Category: AI Personalization
- Category: Persona (User Experience)
