Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to prepare data in the most digestible form for a future ML model. Watch our video to find out more about data preparation for machine learning: 00:00 Intro 01:19 Dataset size 03:07 Dataset quality 04:35 Labeling 06:35 Data reduction and cleansing 09:56 Data wrangling 12:14 Feature engineering Sources: [1] [2] #bib0155 Read more in our article: Music by Learn more about AltexSoft: Follow us on LinkedIn: Follow us on Facebook: Follow us on Twitter: Follow us on Instagram: