- Jupyter
- NumPy
- Data Preprocessing
- Predictive Modeling
- Supervised Learning
- Python Programming
- Unsupervised Learning
- Feature Engineering
- Classification Algorithms
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Model Evaluation
Supervised Machine Learning: Regression and Classification
Completed by TIRTHA SARATHI GHOSH
July 4, 2024
33 hours (approximately)
TIRTHA SARATHI GHOSH'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
