Enrollments closing soon for Post Graduate Certificate Program in Applied Data Science & AI By IIT Roorkee | 3 Seats Left
Login using Social Account
Login using your credentials
Which of these is a categorical feature?
windspeed
hum
temp
weathersit
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
No hints are availble for this assesment
Answer is not availble for this assesment
Go Back to the Course
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
Loading comments...