Day 14 of #100daysofai Gradient Boosting

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what happens when you have a bunch of weak things you bow those things together you have something much stronger enough pieces of floss can be bound together to pick up a car gradient boosters where you have these weak Learners such as mean whole time per agent useless in itself in predicting how many more agents you need to buy but or you need to HDE but if you put together enough data points such as whole Times by pipe of call whole time by agent whole time by

left of call you get enough data points to make Intelligent Decisions from your existing data this is where feature selection linear regression logistical regression all these cess we've done up to day 14 of every day of or of 100 days of AI com in head