End to End Project - Bikes Assessment - Step 6 - Train various Models on the Dataset

1 End to End Project - Bikes Assessment - Basic - Description

2 End to End Project - Bikes Assessment - Step 1 - Load the Dataset

3 End to End Project - Bikes Assessment - Basic - Importing the libraries

4 End to End Project - Bikes Assessment - MCQs - Which of the above libraries can be used to scale...

5 End to End Project - Bikes Assessment - Basic - Loading the data

6 End to End Project - Bikes Assessment - Step 2 - Perform EDA on the Dataset

7 End to End Project - Bikes Assessment - Basic - MCQs - What is the data type of dteday column of bikesData ?...

8 End to End Project - Bikes Assessment - MCQs - Which of these is a categorical feature?...

9 End to End Project - Bikes Assessment - MCQs - Do we need to hotcode the weathersit feature?...

10 End to End Project - Bikes Assessment - MCQs - Do we need an Imputer function to fill in the...

11 End to End Project - Bikes Assessment - MCQs - How many columns are present in the raw dataset?...

12 End to End Project - Bikes Assessment - MCQs - Which of these libraries can be used to standardize the...

13 End to End Project - Bikes Assessment - Basic - MCQs - How many unique values are there in 'yr' column of bikesData ?...

14 End to End Project - Bikes Assessment - MCQs - What is the mean of the hum column?...

15 End to End Project - Bikes Assessment - Step 3 - Clean the Dataset

16 End to End Project - Bikes Assessment - Basic - Cleaning the data - Dropping unwanted features

17 End to End Project - Bikes Assessment - Step 4 - Divide Dataset into Train and Test set

18 End to End Project - Bikes Assessment - Basic - Divide into training/ test dataset

19 End to End Project - Bikes Assessment - Step 5 - Feature Scale the Dataset

20 End to End Project - Bikes Assessment - Basic - Cleaning the data - Feature Scaling

21 End to End Project - Bikes Assessment - MCQs - What is the mean value of the temp column after...

22 End to End Project - Bikes Assessment - Step 6 - Train various Models on the Dataset

23 End to End Project - Bikes Assessment - Basic - Train and Analyze the Models - Preparing to Train the Models

24 End to End Project - Bikes Assessment - Basic - Train and Analyze the Models - Train DecisionTree Model

25 End to End Project - Bikes Assessment - Basic - Train and Analyze the Models - Train Linear Regression Model

26 End to End Project - Bikes Assessment - Basic - Train and Analyze the Models - Train Random Forest Model

27 End to End Project - Bikes Assessment - Basic - MCQs - Which of these models you will select based on mean RMSE?...

28 End to End Project - Bikes Assessment - Step 7 - Fine Tune the Models

29 End to End Project - Bikes Assessment - Basic - Fine-Tuning the Selected Model - Choosing set of hyperparameter combinations for Grid Search

30 End to End Project - Bikes Assessment - Basic - Fine-Tuning the Selected Model - Defining GridSearchCV

31 End to End Project - Bikes Assessment - Basic - Fine-Tuning the Selected Model - Run GridSearchCV

32 End to End Project - Bikes Assessment - Basic - Fine-Tuning the Selected Model - Knowing Feature Importances

33 End to End Project - Bikes Assessment - Basic - MCQs - What is the n_estimators suggested?...

34 End to End Project - Bikes Assessment - Basic - MCQs - What is the max_features suggested?...

35 End to End Project - Bikes Assessment - Basic - MCQs - What is the max_depth suggested?...

36 End to End Project - Bikes Assessment - Step 8 - Evaluate the Models

37 End to End Project - Bikes Assessment - Basic - Evaluate the model on test - Preparing to test the final model on Test dataset

38 End to End Project - Bikes Assessment - Basic - Evaluate the model on test - Make Predictions on the Test dataset using Final Model