- Scikit Learn (Machine Learning Library)
- Python Programming
- NumPy
- Feature Engineering
- Predictive Modeling
- Machine Learning
- Data Preprocessing
- Logistic Regression
- Classification Algorithms
- Jupyter
- Unsupervised Learning
- Supervised Learning
Supervised Machine Learning: Regression and Classification
Completed by D.Tejesh kumar
March 22, 2023
33 hours (approximately)
D.Tejesh kumar's account is verified. Coursera certifies their successful completion of Supervised Machine Learning: Regression and Classification
What you will learn
Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
Skills you will gain
