Course Curriculum
| Chapter 1: Machine Learning | |||
| 1.1 What is Machine Learning? | 00:00:00 | ||
| Activity – Machine Learning | Unlimited | ||
| Chapter 2: Supervised and Unsupervised Machine Learning | |||
| 2.1 Machine Learning Methods | 00:00:00 | ||
| Quiz – Chapter 2 | Unlimited | ||
| Chapter 3: Linear Regression | |||
| 3.1 Introduction to Linear Regression | 00:00:00 | ||
| Quiz – Chapter 3 | Unlimited | ||
| Chapter 4: Simple Linear Regression | |||
| 4.1 Simple Linear Regression | 00:00:00 | ||
| 4.2 Estimating the Coefficients | 00:00:00 | ||
| 4.3 Accuracy of the model | 00:00:00 | ||
| Quiz – Chapter 4 | Unlimited | ||
| Chapter 5: Multiple Linear Regression | |||
| 5.1 Multiple Linear Regression | 00:00:00 | ||
| 5.2 Association Between Predictor and Response | 00:00:00 | ||
| 5.3 Model Fit | 00:00:00 | ||
| Quiz – Chapter 5 | Unlimited | ||
| 5.4 Some Uses of Regression Analysis | 00:00:00 | ||
| Exercise (A) – Chapter 5 | Unlimited | ||
| Exercise (B) – Chapter 5 | Unlimited | ||
| Multiple Linear Regression – Quiz Set 1 | Unlimited | ||
| Multiple Linear Regression – Quiz Set 2 | Unlimited | ||
| Multiple Linear Regression – Quiz Set 3 | Unlimited | ||
| 5.5 Extensions of Regression | 00:00:00 | ||
| Exercise (C)- Chapter 5 | Unlimited | ||
| Quiz – Chapter 5 | Unlimited | ||
| 5.6 Interaction between variables | 00:00:00 | ||
| Exercise (D) – Chapter 5 | Unlimited | ||
| Quiz 2 – Chapter 5 | Unlimited | ||
| Chapter 6: Regression Example in R/Rstudio | |||
| 6.1 Regression example in R/RStudio | 00:00:00 | ||
| Chapter 7: Qualitative Dependent Variable and Classification Problems | |||
| 7.1 Qualitative dependent variable and classification problems | 00:00:00 | ||
| Quiz – Chapter 7 | Unlimited | ||
| Chapter 8: Logistic Regression | |||
| 8.1 Logistic Regression | 00:00:00 | ||
| 8.2 The Logistic Model | 00:00:00 | ||
| 8.3 Estimating the Regression Coefficients | 00:00:00 | ||
| 8.4 Multiple Logistic Regression | 00:00:00 | ||
| 8.5 Resampling Methods | 00:00:00 | ||
| Quiz – Chapter 8 | Unlimited | ||
| Chapter 9: Extension of Linear Models - Subset Selection and Shrinkage | |||
| 9.1 Extension of Linear Models – Subset Selection and Shrinkage | 00:00:00 | ||
| Chapter 10: Ridge Regression | |||
| 10.1 Ridge Regression | 00:00:00 | ||
| Chapter 11: The Lasso | |||
| 11.1 The Lasso | 00:00:00 | ||
| Quiz – Chapter 11 | Unlimited | ||
| Chapter 12: Classification of RRStudio | |||
| 12.1 Classification in R/RStudio | 00:00:00 | ||
| Exercise – Chapter 12 | Unlimited | ||
| Quiz – Chapter 12 | Unlimited | ||
| Chapter 13: Tree Based Models | |||
| 13.1 Tree Based Models | 00:00:00 | ||
| Exercise – Chapter 13 | Unlimited | ||
| 13.2 Classification Trees | 00:00:00 | ||
| Chapter 14: Unsupervised Machine Learning | |||
| 14.1 Unsupervised Machine Learning | 00:00:00 | ||
| Chapter 15: Clustering Methods | |||
| 15.1 Clustering Methods | 00:00:00 | ||
Course Reviews
No Reviews found for this course.
37 STUDENTS ENROLLED
