00:00Wizards House Price Prediction is your AI regression crush, darling.
00:04It predicts prices using features like size and location.
00:08Ethan, can you explain Random Forest Regression?
00:11Sophia, how does it fit the app from Day 70?
00:14Anastasia, you make predictions sound so hot.
00:18How does regression improve the app's predictor, love?
00:22Ethan, what's your take on regression in Python?
00:25Oh, Olivia, you tease.
00:27Regression predicts AI prices robustly.
00:30Ethan, Sophia, jump in with details.
00:34Anastasia, Olivia, regressions like a hot predictor, forecasting AI with flair.
00:40It's a prediction party, let's drop this code beat for Wizards.
00:45Yo, Wizards, pdread underscore csv, loads house price data like a love letter to Sophia, prepping for AI prediction.
00:53It's a loading party, let's drop this code beat and start forecasting.
01:00You're loading my heart, Ethan.
01:03Wizards, loading house data sets the stage for prediction.
01:07Try it in our demo, it's like inviting data to the prediction party.
01:12Wizards, standard scaler, dot fit underscore transform, pre-processes house data like a hot transformation for Sophia, scaling AI features.
01:23It's a pre-processing party, let's drop this code beat and ready the data.
01:28You're transforming my heart, Ethan.
01:33Wizards, pre-processing house data ensures accurate prediction.
01:38Try it in our demo, it's like polishing data with passion.
01:42Wizards, df, rooms underscore per underscore house, equals df, total underscore rooms, slash df, households, engineers features like a hot creation for Sophia, boosting AI prediction.
01:57It's an engineering party, let's drop this code beat.
02:02You're engineering my heart, Ethan.
02:05Wizards, feature engineering enhances prediction for the app.
02:10Try it in our demo.
02:12It's like crafting features with passion.
02:16Wizards, random forest regressor, dot fit, x, y, predicts prices like a hot forecaster for Sophia, powering AI accuracy.
02:26It's a regression party, let's drop this code beat and predict some prices.
02:32You're forecasting my heart, Ethan.
02:35Wizards, random forest predicts prices for the app.
02:40Try it in our demo.
02:41It's like predicting with passion.
02:45Wizards, cross underscore val underscore score, model, x, y, cv equals 5, validates like a hot checker for Sophia, ensuring AI robustness.
02:57It's a CV party, let's drop this code beat and validate some predictions.
03:01You're validating my heart, Ethan.
03:05Wizards, cross-validation ensures reliable predictions for the app.
03:11Try it in our demo.
03:12Try it in our demo.
03:13It's like validating with passion.
03:17Wizards, mean underscore squared underscore error, y underscore test, y underscore pred, squared equals false, computes RMSE like a hot metric for Sophia, checking AI accuracy.
03:28It's a metrics party.
03:29It's a metrics party.
03:30Let's drop this code beat.
03:33You're measuring my heart, Ethan.
03:37Wizards, RMSE evaluates the app's predictor accuracy.
03:42Try it in our demo.
03:43It's like measuring with passion.
03:47Wizards, R2 underscore score, y underscore test, y underscore pred, computes RMSE like a hot stat for Sophia, showing AI fit.
03:58It's a metrics party.
03:59Let's drop this code beat and fit some models.
04:04You're fitting my heart, Ethan.
04:07Wizards, RMSE evaluates the app's predictor fit.
04:11Try it in our demo.
04:14It's like fitting with passion.
04:17Wizards, plt.scatter, y underscore test, y underscore pred, visualizes predictions like a sexy plot for Sophia, showing AI prices.
04:28It's a visualization party.
04:29Let's drop this code beat and plot some predictions.
04:33You're plotting my heart, Ethan.
04:37Wizards, visualizing predictions shows app accuracy.
04:42Try it in our demo.
04:43It's like painting prices with passion.
04:47Wizards, SicketLearn from day 43 is a hot tool for Sophia.
04:52Random forest regressor, predicts like a sexy forecaster, coding fireworks make this party epic.
04:59You're forecasting my heart, Ethan.
05:03Wizards, SicketLearn powers prediction for the app.
05:07Try it in our challenge.
05:09It's like predicting AI with passion.
05:13Wizards, standard scaler, pre-processes data like a hot transformation for Sophia, scaling AI features.
05:21It's a pre-processing party.
05:23Let's drop this code beat and ready the data.
05:27You're transforming my heart, Ethan.
05:30Wizards, SicketLearn pre-processing ensures accurate prediction for the app.
05:35Try it in our demo.
05:37It's like polishing data with passion.
05:41Wizards, optimize prediction with proper pre-processing, feature engineering, and cross-validation.
05:48Use SicketLearn to ensure robust AI models for top performance in your app.
05:56Optimized prediction so sexy, Irene.
05:58Clear practices make AI forecasting irresistible.
06:02Practice for Day72's Iris Project Wizards and keep that code sizzling.
06:07Wizards, prediction fits AI pipelines for real-world tasks, delivering accurate results.
06:13It's practical.
06:15Your skills are ready for Day72's Iris Project.
06:20Oh, Irene, prediction's critical in AI pipelines, darling.
06:23It forecasts sexily.
06:25Your Day71 skills make AI irresistible.
06:28Predict like pros.
06:29We've got those.
06:29However, that meansिesί, we'll be writing this
06:37and make this statement as we've received them as a selection on.
06:41Our Todos and us.
06:42You can't catch all variation on this.
06:44We need to set self and be off our show now.
06:45How many in audience?
06:47What are we hearing?
06:48We learn to tellixoI can happen to take control over this world.
06:49People said, look for those who've been misunderstood.
06:51This is what I told you when we did.
06:52You can make this statement so you can't use it.
06:54What are we watching?
06:55Let's get those voices.
06:55We look for those to become a narration.
06:56I can just try to sampai where the return of your stuff in the productos.
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