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ML Introduction with scikit-learn
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Contenido del Curso

ML Introduction with scikit-learn

ML Introduction with scikit-learn

1. Machine Learning Concepts
What is MLTypes of Machine LearningTraining SetTypes of DataMachine Learning Workflow
2. Preprocessing Data with Scikit-learn
Scikit-learn ConceptsGetting Familiar with DatasetDealing with Missing ValuesImpute Missing ValuesOrdinalEncoderOne-Hot EncoderLabelEncoderEncode Categorical VariablesWhy Scale the Data?StandardScaler, MinMaxScaler, MaxAbsScalerScale the FeaturesPreprocessing Summary
3. Pipelines
What is PipelineColumnTransformerPipelineCreating a Pipeline ChallengeFinal EstimatorCreate a Complete ML Pipeline
4. Modeling
ModelsKNeighborsClassifierEvaluating a Model. Train-Test split.Cross-ValidationEvaluate the Model with Cross-ValidationGridSearchCVThe Flaw of GridSearchCVTune Hyperparameters with RandomizedSearchCVModeling SummaryPutting It All Together

Scale the Features

In this challenge, you need to scale the features using StandardScaler. The data is a good old Penguins dataset (encoded and with no missing values).


              
12345

            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed_encoded.csv')

print(df)
copy

Here is a little reminder of StandardScaler class.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

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 11
toggle bottom row

Scale the Features

In this challenge, you need to scale the features using StandardScaler. The data is a good old Penguins dataset (encoded and with no missing values).


              
12345

            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed_encoded.csv')

print(df)
copy

Here is a little reminder of StandardScaler class.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

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 11
toggle bottom row

Scale the Features

In this challenge, you need to scale the features using StandardScaler. The data is a good old Penguins dataset (encoded and with no missing values).


              
12345

            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed_encoded.csv')

print(df)
copy

Here is a little reminder of StandardScaler class.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

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

¿Todo estuvo claro?

In this challenge, you need to scale the features using StandardScaler. The data is a good old Penguins dataset (encoded and with no missing values).


              
12345

            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed_encoded.csv')

print(df)
copy

Here is a little reminder of StandardScaler class.

Tarea

  1. Import the StandardScaler class
  2. Initialize a StandardScaler object.
  3. Fit and transform the X using that object.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 11
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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