Yes, bootcamps are really a great way to score high on the Dunning-Kruger score, but not so much on any other metric of value. You need lots of sweat and tears

Yes, bootcamps are really a great way to score high on the Dunning-Kruger score, but not so much on any other metric of value. You need lots of sweat and tears to become a capable and competent ML engineer, especially to tell apart intrinsic limitations (i.e., no signal in your data) vs extrinsic issues (e.g., a bug anywhere between ETL and prediction, or a methodological mistake).