Unlock Your Potential: Supervised Learning Made Easy!
Key Takeaways
A guide to supervised learning made easy using a combination of machine learning fundamentals and practice
Full Transcript
welcome allr problems okay dat housing PR okay so Li Cali hous dat what can be the total4 instances features median income then hous Ag and average room number average bedroom number total population then average occupation of household members then logitude and latitude okay Target variable the med house value in1 lakh of course then regression decision regressor Force regressor okay so let's run Cod the next step is Califoria housing dat okay you can see the medium Incorporated hous AG average rooms Eon average bedroom population average occupancy you can see that targets okay then what can be the X so you can see yeah so using the head function by default okay okay the next step is California Housing data Target value ass so if you look here features medium then hous uh average rooms average bedroom population occupancy latitude and longitude Med okay okay vales and you can see there are no null values step X trest trting dat 20 okay and the use is 42 lar regression Okay so using that model after okay so the main MC value for the main MSC value for linear and R2 score value8 R2 score value mean squ ER value for decision is .5 and R2 sore value is 62 okay value Next Step rore model so it is taking time to load the data set yeah so random forest model almost R2 val1 corresponding Val okay corresponding Target linear model decision model random force model vales 1.7 2.7 2.8 and 2.6 whereas Decision 4 1.2 5 2.1 and 2.2 random for 4.9 2.5 and 2.27 4745 random for .74 5 4.9 then 2.18 is 2.5 and 2.7 2. almost you can see here okay function get input data input details on the same order okay Med income house AG average rooms bedroom population average occupancy laude andit and finally and under the 383 then 5.3 then 10,000 population occupancy 2.46 and latitude is 37 long is 121 we can see prct regression decision and Forest e regression problem complete so thank you all happy learning
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