Solution

1 Solution

2 End-to-End ML Project - Introduction

3 End to End ML Project - Import the libraries

4 End to End ML Project - Load the dataset

5 End to End ML Project - Explore the dataset

6 End to End ML Project - Split the dataset

7 End-to-End ML Project - Visualize the geographic distribution of the data

8 End to End ML Project - Create a correlation matrix

9 End to End ML Project - Fill in the missing data

10 End to End ML Project - Handling categorical attributes

11 End to End ML Project - Creating custom transformer

12 End to End ML Project - Creating transformation pipelines

13 End to End ML Project - Train a Decision Tree model

14 End to End ML Project - Train a Random Forest model

15 End to End ML Project - Fine tune your model with Cross Validation

16 End to End ML Project - Fine tune your model with Grid Search

17 End to End ML Project - Analyze and evaluate best model