Feedback × Feedback Was this page helpful?* Yes No Do you have any additional feedback? Yes No Additional Feedback 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 Normalization 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.