Why Your Data Science Project Is Failing

And What You Can Do To Prevent It

Photo by Jo Szczepanska on Unsplash

Companies are investing in AI and Machine Learning more than ever, yet most data science projects fail. Up to 85% of Machine Learning projects never get deployed to prediction. The reasons can be different: data is low quality or difficult to access, or there might be a lack of appropriate architecture.