Day 14 Fast: Decision Trees and Random Forests—Classify with Tree Magic! | #DailyAIWizard - video Dailymotion

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Welcome to Day 14 of #DailyAIWizard, where we’re classifying data with the magic of Decision Trees and Random Forests!  I’m Anastasia, your thrilled AI guide, and today we’ll explore these powerful ML techniques for classification tasks like predicting customer churn. Sophia joins me with a magical demo using Python and scikit-learn to build a Random Forest—it’s spellbinding! Whether you’re new to AI or following along from Days 1–13, this 27-minute lesson will ignite your curiosity. Let’s make AI magic together!   Task of the Day: Build a Random Forest model using Python (like in the demo) and share your accuracy in the comments!  Let’s see your magical results!    Subscribe for Daily Lessons: Don’t miss Day 15, where we’ll explore Support Vector Machines Basics. Hit the bell  to stay updated!   Watch Previous Lessons:   Day 1: What is AI?   Day 2: Types of AI   Day 3: Machine Learning vs. Deep Learning vs. AI   Day 4: How Does Machine Learning Work?   Day 5: Supervised Learning Explained   Day 6: Unsupervised Learning Explained   Day 7: Reinforcement Learning Basics   Day 8: Data in AI: Why It Matters   Day 9: Features and Labels in Machine Learning   Day 10: Training, Testing, and Validation Data   Day 11: Algorithms in Machine Learning (Overview)   Day 12: Linear Regression Basics   Day 13: Logistic Regression for Classification   #AIForBeginners #DecisionTrees #RandomForests #MachineLearning #WisdomAcademyAI #PythonDemo #ScikitLearnDemo #treemagic  #dailyaiwizard

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00:00welcome to day 14 of wisdom academy ai my incredible wizards i'm anastasia your thrilled

00:10ai guide and i'm so excited to be here today have you ever wondered how ai can make decisions like

00:15a human splitting choices into simple yes or no paths we're diving into decision trees and

00:21random forests powerful tools for classification i've brought my best friend sophia to share the

00:26magic decision trees are our focus today and i'm so excited they're a supervised machine learning

00:36algorithm used for classification tasks in ai they have a tree structure with nodes branches and leaves

00:42guiding decisions step by step they split data based on feature conditions like age or income

00:48to classify for example they can classify customers as churn or not based on their features it's a

00:55simple magical decision making tool i'm thrilled to explore it

00:58why use decision trees let's find out i'm so thrilled they're easy to understand and visualize

01:09making them great for beginners in ai they work for both classification and regression tasks

01:15offering versatility and modeling they handle non-linear relationships in data capturing complex

01:20patterns effectively for example they can predict if a loan is risky helping banks decide decision

01:26trees are a beginner friendly spell for ai i'm so excited to use them

01:35splitting criteria are crucial in decision trees and i'm so eager to share they use metrics like genie

01:41impurity and entropy to decide where to split the data genie impurity measures how mixed the classes are in a

01:47split aiming for purity entropy measures the randomness in the data seeking to reduce uncertainty with each

01:53split the tree chooses the split that reduces impurity the most creating better separations this is a key

02:00step in tree magic i'm so excited to understand it now let's explore random forests and i'm so excited

02:11they're an ensemble of many decision trees working together to make better predictions each tree in the forest

02:17votes on the classification combining their decisions for a final answer this reduces overfitting by

02:23averaging the predictions smoothing out errors from individual trees random forests are often more

02:29accurate than a single decision tree improving reliability it's a forest of magical ai decisions i'm

02:35thrilled to dive into it

02:41why use random forests i'm so thrilled to share the benefits they're more accurate than single

02:47decision trees thanks to the power of ensemble learning they reduce overfitting by combining

02:51predictions from many trees making the model more robust they handle large data sets and many

02:57features well scaling effectively for complex problems for example they can classify diseases based on

03:02many symptoms aiding diagnosis random forests are a magical upgrade to tree power i'm so excited to use them

03:09evaluating decision trees and random forests is key and i'm so eager we use metrics like accuracy precision

03:21and recall to measure classification performance a confusion matrix shows true positives false negatives

03:28and other outcomes for detailed insights random forests also provide feature importance showing which

03:34features matter most in predictions this ensures our tree magic is effective confirming the model's reliability

03:41let's measure our spells success i'm so excited to see the results

03:50feature importance in random forests is fascinating and i'm so thrilled it shows which features influence

03:56predictions the most highlighting their impact on the model for example income might be the most

04:02most important feature for predicting customer churn guiding decisions this helps us interpret the model's

04:07decisions understanding why it classifies as it does it's also useful for feature selection in future models

04:14focusing on key predictors this gives a magical insight into ai decisions i'm so excited to explore it

04:25here are tips for using decision trees and random forests and i'm so thrilled start with decision trees for

04:31simplicity for simplicity as they're easier to understand when beginning use random forests when you need better

04:36accuracy leveraging their ensemble power visualize trees to understand their decisions making the

04:42process clearer for analysis tune hyper parameters like tree count for optimal performance using cross

04:49validation keep practicing your tree magic i'm so excited for your progress

Day 14 Fast: Decision Trees and Random Forests—Classify with Tree Magic! | #DailyAIWizard

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