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What is closest to the mean value of the temp column after standard scaling?
3.497212e-16
-4.195150e16
4.035529e15
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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
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