First Steps in Data Science: Data Cleaning & Preprocessing
Data cleaning is key to any successful data science project! Here's what to focus on:
Handle missing data
Remove duplicates
Normalize & scale data
Tackle outliers
Convert categorical data
Clean data = better models & insights! Start strong by mastering the basics.
Read the full article here: https://www.goglides.dev/khushnuma_5aaa949af79e157/first-steps-in-data-science-how-to-tackle-data-cleaning-preprocessing-2n6bv