Contenido del Curso

Linear Regression for ML

1. Simple Linear Regression

What is Linear Regression Finding the Parameters Building the Linear Regression with scikit-learn Challenge Cheatsheet

2. Multiple Linear Regression

Linear Regression with Two Features Linear Regression with n Features Building Multiple Linear Regression Challenge Cheatsheet

3. Polynomial Regression

Quadratic Regression Polynomial Regression PolynomialFeatures Building the Polynomial Regression Interpolation vs Extrapolation Challenge Cheatsheet

4. Evaluating and Comparing Models

Metrics

Challenge

For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age and square_feet).


              1234
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv')
print(df.head())

Your task is to build a Multiple Linear Regression model using the OLS class. Also, you will print the summary table to look at the p-values of each feature.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 4

Challenge

For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age and square_feet).


              1234
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv')
print(df.head())

Your task is to build a Multiple Linear Regression model using the OLS class. Also, you will print the summary table to look at the p-values of each feature.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 4

Challenge

For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age and square_feet).


              1234
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv')
print(df.head())

Your task is to build a Multiple Linear Regression model using the OLS class. Also, you will print the summary table to look at the p-values of each feature.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age and square_feet).


              1234
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv')
print(df.head())

Your task is to build a Multiple Linear Regression model using the OLS class. Also, you will print the summary table to look at the p-values of each feature.

Tarea

Assign the 'age' and 'square_feet' columns of df to X.
Build and train the model using the LinearRegression class.
Predict the target for X_new.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

Sección 2. Capítulo 4

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones