Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Challenge 2 | Moving on to Tasks
course content

Course Content

Data Preprocessing

1. Brief Introduction

Data TypesData Processing MethodsDataset: Test and TrainingDeleting an "Extra" DataChanging the Data Type

2. Processing Quantitative Data

Data ScalingData Scaling vs Data NormalizationRemoving OutliersRemoving Missing ValuesData Augmentation: Synthetic Data

3. Processing Categorical Data

Methods for Encoding the Categorical DataOne-Hot EncodingOrdinal EncodingLabel Encoding of the Target VariableChallenge

4. Time Series Data Processing

Data Type ConversionData CleaningStationarityDenoisingTrain/Test Split & Cross ValidationChallenge

5. Feature Engineering

Technique IdeaRealizationFeature Extraction from TextFeature Extraction from ImagesFeature Extraction from Time SeriesChallenge

6. Moving on to Tasks

Challenge 1Challenge 2Challenge 3

Data Preprocessing

Challenge 2Challenge 2

Task

So, now let's remember what we do with text data. You will be working with the 'reviews.csv' dataset, and your task will be to encode text data using the bag of words method.

  1. Create a CountVectorizer object to tokenize text
  2. Fit data to the tokenizer
  3. Print the vocabulary of the tokenizer
  4. Encode 'Text' column
  5. Print the results

Everything was clear?

Section 6. Chapter 2
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course content

Course Content

Data Preprocessing

1. Brief Introduction

Data TypesData Processing MethodsDataset: Test and TrainingDeleting an "Extra" DataChanging the Data Type

2. Processing Quantitative Data

Data ScalingData Scaling vs Data NormalizationRemoving OutliersRemoving Missing ValuesData Augmentation: Synthetic Data

3. Processing Categorical Data

Methods for Encoding the Categorical DataOne-Hot EncodingOrdinal EncodingLabel Encoding of the Target VariableChallenge

4. Time Series Data Processing

Data Type ConversionData CleaningStationarityDenoisingTrain/Test Split & Cross ValidationChallenge

5. Feature Engineering

Technique IdeaRealizationFeature Extraction from TextFeature Extraction from ImagesFeature Extraction from Time SeriesChallenge

6. Moving on to Tasks

Challenge 1Challenge 2Challenge 3

Data Preprocessing

Challenge 2Challenge 2

Task

So, now let's remember what we do with text data. You will be working with the 'reviews.csv' dataset, and your task will be to encode text data using the bag of words method.

  1. Create a CountVectorizer object to tokenize text
  2. Fit data to the tokenizer
  3. Print the vocabulary of the tokenizer
  4. Encode 'Text' column
  5. Print the results

Everything was clear?

Section 6. Chapter 2
toggle bottom row
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