Data Preparation¶

6 mins

Joins

Combine datasets seamlessly using various join techniques to enrich and consolidate your data.

2 mins

Duplicates

Identify and manage duplicate records, ensuring data integrity and accuracy.

5 mins

Outliers

Detect and handle outliers in your dataset for robust and reliable analyses.

18 mins

Missing values

Address missing data through imputation and imporve the completeness of your dataset.

5 mins

Encoding

Transform categorical data into numerical formats, a crucial step for machine learning models.

5 mins

Scaling Techniques

Standardize numerical features to a common scale, optimizing model performance.

4 mins

Decomposition

Break down complex data structures into simpler components, facilitating analysis and understanding.

7 mins

Feature engineering

Create new informative features to enhance the predictive power of your models.