Curriculum
- 6 Sections
- 22 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Preprocessing Your Data5
- Introduction to machine learning4
- Supervised learning5
- Unsupervised learning4
- Machine learning algorithms and Projects5
- 6.0Linear Regression: Project: Predicting House Prices In Nigeria
- 6.1Decision Trees and Random Forest: Project: Customer Churn Prediction
- 6.2K-Means Clustering: Project: Customer Segmentation
- 6.3Naive Bayes Classifier: Project: Email Spam Classification
- 6.4Neural Networks (Deep Learning): Project: Handwritten Digit Recognition
- Theoretical foundations of machine learning0