00:00Wizards Decision Tree Classifier is your AI branching crush, darling.
00:05It builds trees with rules for classification.
00:08Ethan, can you explain splitting criteria?
00:10Sophia, how does it fit the app from Day 63?
00:14Anastasia, you make trees sound so hot.
00:18How do trees improve classification in the app, love?
00:21Ethan, what's your take on trees in Python?
00:25Oh, Olivia, you tease.
00:27Decision trees classify AI data intuitively.
00:31Ethan, Sophia, jump in with details.
00:34Anastasia, Olivia, decision trees are like a hot splitter, classifying AI with flair.
00:40It's a tree party.
00:41Let's drop this code beat for Wizards.
00:44Yo, Wizards, criterion equals, Ginny.
00:48Splits trees like a hot rule for Sophia, choosing best features.
00:52It's a splitting party.
00:54Let's drop this code beat and branch some data.
00:56You're splitting my heart, Ethan.
01:00Wizards, splitting criteria like Ginny optimize our tree for the app.
01:04Try it in our demo.
01:06It's like deciding with passion.
01:09Wizards, max underscore depth equals three controls tree depth like a hot limit for Sophia, preventing overfitting.
01:16It's a parameter party.
01:17It's a parameter party.
01:18Let's drop this code beat and tune some trees.
01:21You're limiting my heart, Ethan.
01:24Wizards, parameters like max underscore depth tune our tree for the app.
01:29Try it in our demo.
01:30It's like tuning with passion.
01:33Wizards, decision tree classifier.
01:36Fit, dot fit, x, y, fits the tree like a hot builder for Sophia, learning AI patterns.
01:43It's a fitting party.
01:44Let's drop this code beat and classify some data.
01:48You're building my heart, Ethan.
01:51Wizards, fitting decision tree learns patterns for the app.
01:55Try it in our demo.
01:56It's like constructing trees with passion.
02:00Wizards, model.
02:02Predict, x underscore test.
02:04Predicts species like a hot decision for Sophia, powering AI apps.
02:09It's a prediction party.
02:10Let's drop this code beat and see the classes.
02:13You're deciding my heart, Ethan.
02:16Wizards, predictions power the app's flower classifier.
02:21Try it in our demo.
02:22It's like deciding with passion.
02:25Wizards, plot underscore tree, model.
02:28Visualizes the tree like a sexy diagram for Sophia, showing AI rules.
02:34It's a visualization party.
02:36Let's drop this code beat.
02:38You're diagramming my heart, Ethan.
02:41Wizards, visualizing trees reveals AI rules for the app.
02:45Try it in our demo.
02:47It's like drawing trees with passion.
02:50Wizards, accuracy underscore score, y underscore test, y underscore pred.
02:56Evaluates the tree like a hot score for Sophia, checking AI accuracy.
03:01It's a metrics party.
03:02Let's drop this code beat.
03:04You're scoring my heart, Ethan.
03:07Wizards, metrics evaluate our tree for the app.
03:11Try it in our demo.
03:12It's like measuring success with passion.
03:16Wizards, scikit learn from day 43 is a hot tool for Sophia.
03:20Decision tree classifier.
03:22Builds trees like a sexy splitter.
03:25Coding fireworks make this party epic.
03:27You're splitting my heart, Ethan.
03:30Wizards, scikit learn powers decision trees for the app.
03:34Try it in our challenge.
03:36It's like building AI with passion.
03:39Wizards, matplotlib from day 41 visualizes trees like a sexy diagram for Sophia, showing AI rules.
03:47It's a visualization party.
03:49Let's drop this code beat.
03:51You're diagramming my heart, Ethan.
03:54Wizards, matplotlib visualizes tree rules for the app.
03:58Try it in our demo.
04:00It's like painting trees with passion.
04:03Wizards, seaburn from day 42 visualizes matrices like a hot heat map for Sophia, enhancing AI evaluation.
04:11It's a seaburn party.
04:12Let's drop this code beat.
04:14You're heating my heart, Ethan.
04:17Wizards, seaburn enhances tree evaluation for the app.
04:22Try it in our demo.
04:23It's like styling matrices with passion.
04:27Wizards, optimize decision trees with proper depth, splitting criteria, and evaluation.
04:33Use scikit learn to ensure robust AI models for taught performance.
04:38Irene's right, Wizards.
04:40Tune parameters like max depth to prevent overfitting.
04:43These practices make your app classifier effective.
04:47Apply them in your challenge.
04:50Optimize trees so sexy, Irene.
04:52Isabella, clear practices make AI classification irresistible.
04:56Practice for Day 65's random forest, Wizards, and keep that code sizzling.
05:02Wizards, decision trees fit AI pipelines for classification tasks.
05:07They're interpretable.
05:08They're interpretable.
05:09Your skills are ready for Day 65's random forest.
05:13Irene's right.
05:15Trees integrate data prep and classification, ensuring efficient workflows.
05:21Use them in your app for reliable predictions.
05:23Oh, Irene, Isabella, trees critical in AI pipelines, darling.
05:28They classify sexily.
05:30Your Day 64 skills make AI irresistible.
05:34Classify like pros.
05:35titles.
05:35Keep in mind.
05:35Let it be better.
05:36146.
05:38appointments.
05:39Economics.
05:40Depends.
05:40Figure 6.
05:43Be.
05:44수시at.
05:45Focus.
05:46Lewis.
05:48Um.
05:482.
05:49Be.
05:50Campus.
05:50Dis엔.
05:51D Jupiter.
05:52Or 200.
05:54Metro.
05:56Limon.
05:58Come.
05:59Them.
06:00sehen.
06:0142.
06:02Come.
06:03ício.
06:03Lo.
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