Machine Learning in Python: Analyze & Apply
Completed by VINOD SAINI
March 31, 2026
13 hours (approximately)
VINOD SAINI's account is verified. Coursera certifies their successful completion of Machine Learning in Python: Analyze & Apply
What you will learn
Apply NumPy, Pandas, and Matplotlib for data analysis & visualization.
Build, train, and validate supervised & unsupervised ML models.
Implement NLP, face recognition, and text classification projects.
Skills you will gain
- Category: Data Management
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Data Visualization
- Category: Plot (Graphics)
- Category: Matplotlib
- Category: Natural Language Processing
- Category: Machine Learning
- Category: Applied Machine Learning
