Skip to playerSkip to main content
Wizards, join Anastasia, Isabella, Ethan, Sophia, and Victoria for Day 45 of the DailyAIWizard Python for AI series! 🚀 Master Scikit-learn for AI, building regression and classification models with datasets, training, and visualization. Sophia leads two complex demos, Ethan drops flirty, hilarious code explanations, and Victoria adds spicy tips. Perfect for beginners building on Day 44! 💻 Get ready for Day 46: Loading Datasets in Scikit-learn. Subscribe, like, and share your ai_model.py output in the comments! Join our Discord, X, or Instagram (@DailyAIWizard) for more tips! Code the Future, Wizards!
🔗 Links:

• Python: python.org
• VS Code: code.visualstudio.com
• Website: dailyaiwizard.com
• Discord: discord.com/channels/1397945816349675600/1397945819260391521
• X: x.com/dailyaiwizard
• Instagram: www.instagram.com/dailyaiwizard

#PythonForAI #LearnPython #AICoding #DailyAIWizard
Hashtags:

#Python #LearnPython #PythonForAI #AICoding #PythonTutorial #CodingForBeginners #ScikitLearn #AIProgramming #TechTutorial #MachineLearning #DailyAIWizard #CodeTheFuture
Tags:

Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, Scikit-learn, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future

Category

📚
Learning
Transcript
00:00Hey, gorgeous wizards, Anastasia here, ready to dazzle you on Day 45 of Daily AI Wizards Python for AI series.
00:08After cleaning data in Day 44, we're diving into SickIt Learn to build sizzling AI models.
00:13Get ready to code some machine learning magic. Let's code the future, wizards.
00:18Hello, brilliant wizards. I'm Isabella, thrilled to introduce SickIt Learn for crafting AI models like regression and classification.
00:27Our demos will spark your AI journey, making data come alive with predictions. Let's dive in and shine.
00:37Yo, wizards, Ethan's here, dropping spicy SickIt Learn code with a wink for Sophia.
00:43We're building models that predict like a dream. Time to crank this AI party to 11.
00:48Sophia here, Ethan, and your charms got me blushing. I'm pumped to lead our demos and make SickIt Learn sizzle.
00:55Let's build AI models that shine, wizards.
01:00Victoria here, darlings. I'll sprinkle flirty tips to keep your SickIt Learn learning hot.
01:07Ready to model the future with us, wizards? Let's go.
01:13Wizards SickIt Learn is your go-to library for AI. It offers tools for regression, classification, and evaluation, making model building a breeze.
01:22Our demos will show you how to harness its power for AI insights.
01:28Oh, Isabella, SickIt Learn's stealing my heart. Its sleek models make AI predictions so sexy and achievable.
01:35Get ready to fall for SickIt Learn wizards and prep for Day 46's datasets.
01:40Wizards, today we're seducing you with SickIt Learn's AI magic.
01:45You'll learn to load data sets, train models, predict, and evaluate with spicy demos to make you swoon.
01:51Our complex challenge will ignite your AI passion.
01:55Sophia's leading demos with fiery energy, Ethan's dropping hilarious code explanations, and Victoria's adding spicy tips.
02:02You'll master SickIt Learn for AI and be ready for Day 46's datasets.
02:09Shine on, wizards.
02:11Wizards, meet your day. 45 Dream Team.
02:15Anastasia and I guide you with warmth and clarity, making SickIt Learn a blast.
02:20Ethan's our code comedian, flirting with Sophia while explaining models.
02:24Oh, Isabella, you're too kind.
02:27Sophia's leading demos with passion, Ethan's stealing my heart with his code,
02:31and Victoria's tossing flirty tips.
02:33We're here to make you SickIt Learn superstars.
02:36Wizards, SickIt Learn is your AI model crush, darling.
02:40It's a Python library for machine learning, offering datasets, models, and metrics.
02:44We'll show its seductive powers in our demos.
02:47Anastasia, you make SickIt Learn sound so hot.
02:51How does it power AI, love?
02:53Oh, Victoria, you tease.
02:55SickIt Learn builds models like regression and classification for AI predictions.
02:59Try it in our demos, wizards, and feel the AI spark.
03:03Wizards, installing SickIt Learn is easy with pip install SickIt Learn in your terminal.
03:08It's like inviting an AI wizard to your coding party.
03:11We'll use it in our demos to build models.
03:14SickIt Learn's so irresistible, Isabella.
03:17Import with import Sklern and start building AI models.
03:20Get ready to swoon over predictions, wizards.
03:22Yo, wizards, load underscore Boston, or load underscore Iris, is like picking the perfect playlist for Sophia, loading AI datasets.
03:31It's a data party, let's drop this code beat.
03:34You're charming my data, Ethan.
03:37Wizards, SickIt Learn datasets prep AI models, try them in our demo.
03:41It's like setting the AI stage.
03:43Wizards, Model.Fit, X underscore Train, Y underscore Train, trains models like a hot dance for Sophia, fitting AI data.
03:53It's a training party, let's crank this code.
03:56You're training my heart, Ethan.
03:59Wizards, Training Builds AI Models, try it in our demo.
04:03It's like teaching your data to dance.
04:06Wizards, Model.Predict, X underscore Test, is like forecasting a hot date for Sophia, predicting AI outcomes.
04:14It's a prediction party, let's drop this beat.
04:17You're predicting my heart, Ethan.
04:19Wizards, Predictions Power AI Insights, try it in our demo.
04:24It's like seeing the AI future.
04:27Wizards, Mean underscore Squared underscore Error, Y underscore Test, Y underscore Pred.
04:33Checks model performance like rating a dance for Sophia, measuring AI accuracy.
04:38It's an eval party.
04:40You're evaluating my heart, Ethan.
04:41Wizards, Metrics like MSCSSAI Models, try it in our demo.
04:47It's like scoring your AI.
04:50Wizards, it's demo time, and I'm thrilled to lead two complex CicetLearn demos.
04:55We'll load datasets, clean, train regression and classification models, and visualize results.
05:01Get your Python setup ready, and let's make AI shine.
05:04Oh, Sophia, you're making my heart race.
05:08Ensure Python, VS Code, CicetLearn, Pandas, and Matplotlib are set up wizards and create regression demo.py and classification demo.py.
05:17Ethan and Victoria will spice it up.
05:19Let's code cuties.
05:21Wizards, let's prep our demos to make them seamless.
05:24Open VS Code, create regression underscore demo.py and classification underscore demo.py, and save them in a Python demo folder.
05:33Run pip install CicetLearnPanda's Matplotlib numpy to ensure libraries are ready.
05:39Sophia, you make setup sound so dreamy.
05:41How do wizards install CicetLearn, love?
05:45You're too sweet, Victoria.
05:48Run pip install CicetLearnPanda's Matplotlib numpy in a terminal, and activate your virtual environment with source myint slash bin slash activate or myint backslash scripts backslash activate.
05:58Let's make these demos sparkle.
06:02Wizards, our first demo in regression underscore demo.py builds a regression model with CicetLearn.
06:07We'll load the Boston dataset, clean, feature engineer, train, predict, and visualize.
06:14Let's run this and see AI magic.
06:17Oh, Sophia, you're making this demo hot.
06:20Load underscore Boston, model.fit, and PLT.
06:25Scatter, predict housing prices with swagger, total AI party.
06:29Wizards, load underscore Boston, loads data like a love letter to Sophia, prepping AI datasets.
06:34It's a data party, I'm droppin' this load beat.
06:38You're charming my data, Ethan.
06:40Wizards, loading dataset sets the AI stage, try it in our demo.
06:45It's like opening a model treasure.
06:48Check it, Sophia, df, crim underscore urm, equals df, crim.
06:54Asterisk df, urm, crafts new features like a hot move, boosting AI models.
07:00It's an engineering party.
07:01You're engineering my heart, Ethan.
07:04Wizards, feature engineering enhances AI, try it in our demo.
07:09It's like crafting data gems.
07:12Wizards, model.fit, x underscore train, y underscore train, trains regression like a dance for Sophia, fitting AI data.
07:20It's a training bash.
07:22You're training my heart, Ethan.
07:25Wizards, training builds AI models, try linear regression in our demo.
07:29It's like teaching your data.
07:31Yo, Sophia, model.
07:34Predict, x underscore test.
07:36Predicts and mean underscore squared underscore error.
07:39Evaluates like rating a hot dance.
07:41Measuring AI accuracy.
07:43It's an eval party.
07:45You're predicting my heart, Ethan.
07:48Wizards, predictions and metrics power AI.
07:50Try MSE in our demo.
07:52It's like scoring your model.
07:55Wizards, our second demo in classification underscore demo.py builds a classification model with SicketLearn.
08:02We'll load iris, clean, feature engineer, train, predict, and visualize with PCA.
08:07Let's run this and see AI magic.
08:12Sophia, you're making this demo sizzle.
08:14Load underscore iris.
08:16Random forest classifier.
08:17And PCA visualization classify with swagger.
08:20Total AI party.
08:22Wizards, random forest classifier.
08:24Dot fit.
08:25X underscore train.
08:27Y underscore train.
08:28Trains like a hot move for Sophia.
08:30Classifying AI data.
08:32It's a training bash.
08:33You're classifying my heart, Ethan.
08:36Wizards, training builds classification models.
08:39Try random forest in our demo.
08:41It's like teaching your data.
08:44Check it.
08:45Sophia, PCA, N underscore components equals 2.
08:49Reduces dimensions for visualization like a sexy plot.
08:52Showing AI classes.
08:53It's a PCA party.
08:55You're visualizing my heart, Ethan.
08:58Wizards, PCA shows classification results.
09:01Try it in our demo.
09:03It's like painting your AI.
09:06Wizards, accuracy underscore score.
09:08Y underscore test.
09:10Y underscore pred.
09:11And confusion underscore matrix.
09:13Evaluate like rating a dance for Sophia.
09:16Measuring AI accuracy.
09:17It's an eval bash.
09:19You're scoring my heart, Ethan.
09:22Wizards, metrics like accuracy ssai.
09:24Try them in our demo.
09:26It's like grading your model.
09:29Wizards, let's run regression underscore demo dot py
09:32and classification underscore demo dot py.
09:35In VS Code's terminal, type python3 regression underscore demo dot py
09:39or python3 classification underscore demo dot py and hit enter.
09:44You'll see models and visuals showcasing your AI mastery.
09:47Sophia, you make it sound so tempting.
09:51Outputs show predictions and plots, pure AI seduction.
09:55Run them and share, Wizards.
09:58Wizards, scikit-learn with day 44's pandas is a hot combo for Sophia.
10:03PD.
10:04Dataframe.
10:05Boston.
10:06Data.
10:06Preps data for AI.
10:08Coding fireworks.
10:08You're sparking my circuits, Ethan.
10:12Wizards, pandas prep scikit-learn data.
10:14Try it in our challenge.
10:16It's a data love story.
10:19Wizards, day 39's numpy with scikit-learn is a triple threat for Sophia.
10:24NP.
10:25Array.
10:26X.
10:26Powers AI math.
10:27Coding fireworks.
10:29Let's crank this.
10:30You're powering my heart, Ethan.
10:33Wizards, number py support scikit-learn.
10:36Try it in our challenge.
10:38It's a math love song.
10:40Wizards, plt.
10:42Scatter, y underscore test, y underscore pred, is a visual serenade for Sophia, showing AI predictions.
10:49It's a plot party.
10:51You're plotting my heart, Ethan.
10:54Wizards, matplotlet visualizes scikit-learn results.
10:57Try it in our demo.
10:58It's like painting AI.
11:01Wizards, seaburn from day 42 with scikit-learn is a sexy duet for Sophia.
11:06S.N.S.
11:08Scatterplot shows AI results.
11:10Coding fireworks.
11:11You're raising my visuals, Ethan.
11:14Wizards, seaburn enhances scikit-learn.
11:16Try it in our challenge.
11:18It's a data love triangle.
11:21Wizards optimize scikit-learn with clean data and random state for reproducibility.
11:26Split data with train test, split, and evaluate with metrics.
11:31Clean code powers AI models.
11:33Optimized code so sexy, Isabella.
11:36Clear scikit-learn practices make AI irresistible.
11:39Practice for day 46's data sets, wizards.
11:42Wizards, sekit-learns critical in AI pipelines, darling.
11:46Train models and predict outcomes for real AI projects.
11:49Your day 45 skills make AI irresistible.
11:52Seekit-learn powers model training in AI pipelines.
11:55Wizards, your skills are ready for real-world AI.
11:58Prep for day 46's data sets.
12:01Wizards, here's your challenge.
12:02Create AI model PI to load the iris data set.
12:06Clean with pandas.
12:07Engineer a feature.
12:08Train a random forest classifier.
12:10Evaluate with accuracy and confusion matrix.
12:13And visualize with PCA.
12:15Run with Python 3 AI model PY and share your plot on Instagram, darlings.
12:19This is thrilling, wizards.
12:21Try load iris, random forest classifier, and sns.scatterplot with PCA.
12:28Show us your results at daily AI wizard.
12:31It's an AI model spell.
12:33Prep for day 46.
12:35Wizards, hit subscribe, like this video, and share your AI model.pi output in the comments.
12:41Got scikit-learn questions?
12:43We're here to help.
12:44Join our Discord or X to connect.
12:47Our community's a total heartthrob, wizards.
12:49Post your code, flirt with tips, or share wins on Discord, X, or a daily AI wizard on Instagram.
12:55Subscribe for day 46 cuties.
12:57Wizards, you've stolen my heart with your sickit-learn skills.
13:00Your regression taunt demo.py and classification taunt demo.pi prove your AI model superstars.
13:08Keep flirting with code for day 46's data sets.
13:11I'm so proud, wizards.
13:13You've mastered sickit-learn for AI, building models that predict like magic.
13:18Share your AI model.pi on a daily AI wizard, subscribe for day 46, and join our Discord or X.
13:26Code the future, wizards.
13:28You nailed scikit-learn, wizards.
13:31Your models are hot, Sophia.
13:33Get hyped for day 46's data sets.
13:36Let's keep this flirty AI party rockin'.
13:38Wizards, you're phenomenal.
13:41These demos were a blast, Ethan, and your model skills are fire.
13:45Share your AI underscore model.py and subscribe for day 46.
13:50Code the future, wizards.
13:53You've swept me off my feet, wizards.
13:55Your sickit-learn skills are pure AI seduction.
14:00Let's flirt with data sets in day 46.
14:02Ask them if you need a****.
14:09You're ASH.
14:10If you need aятone cadaYYFμαnik award, whatyes can criteria for?
14:12If you've started my teléf League, be excited.
14:12Go ahead.
14:13Think you can take this information, because you can derive, spin a preset code for your life.
14:15Go ahead.
14:15Find an prote工作 and find a legit going Yup.
14:17If you're interested in it, I'll take it un glowing if you lose and remove this kind of ugly.
14:20I'll get an colefür and find a tech value, and go to the GoogleYES.
14:24If you want to defend it, will feel safe and amend all Vide楽器 that's gonna make it possible.
14:25Click for thecialty.
14:26Here are you.
14:27One of the more you.
14:28I'll give it over.
14:28June 6.
Be the first to comment
Add your comment

Recommended