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Explore the Linear Regression Using Python
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Зміст курсу

Explore the Linear Regression Using Python

Explore the Linear Regression Using Python

1. What is the Linear Regression?
Basic Understanding of the Linear RegressionHow Mathematically Does It Work?Build the Linear RegressionWorking with DatasetUseful Functions for Researching and Visualizing Dataset
2. Correlation
What Is Correlation? How To Find Pearson CoefficientCorrelation MatrixCalculating the Pearson Coefficient Using NumPy and PandasChallenge
3. Building and Training Model
Train-split evaluationFittingPredictionChallenge
4. Metrics to Evaluate the Model
ResidualsMean Absolute Error (MAE)MSE and RMSER-squaredNot Always the Linear Regression?
5. Multivariate Linear Regression
Building the Regression Model Based on Several VariablesTry to EvaluateChallenge

Challenge

Let's do one more task as practice!

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

Все було зрозуміло?

Секція 2. Розділ 4
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Challenge

Let's do one more task as practice!

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

Все було зрозуміло?

Секція 2. Розділ 4
toggle bottom row

Challenge

Let's do one more task as practice!

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

Все було зрозуміло?

Let's do one more task as practice!

Завдання

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів
Секція 2. Розділ 4
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів
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