How is data prepared for machine learning?

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] https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G [2] https://www.sciencedirect.com/science/article/pii/S0933365716301749#bib0155 Read more in our article: https://www.altexsoft.com/blog/datascience/preparing-your-dataset-for-machine-learning-8-basic-techniques-that-make-your-data-better/ Music by Epidemicsound.com Learn more about AltexSoft: https://www.altexsoft.com Follow us on LinkedIn: https://www.linkedin.com/company/altexsoft Follow us on Facebook: https://www.facebook.com/altexsoft/ Follow us on Twitter: https://twitter.com/AltexSoft Follow us on Instagram: https://www.instagram.com/altexsoftcom/