Skip to playerSkip to main content
Kick off your coding day with a groovy 1970s jazz playlist, infused with a positive morning coffee vibe and stunning ocean views from a retro beachside room. Let the smooth saxophone and funky beats lift your spirits as you dive into Day 71 of the DailyAIWizard Python for AI series!

🚀 Join Anastasia (our main moderator), Irene, Ethan, Sophia, and Olivia as we build a house price prediction project for the AI Insight Hub app, building on Days 67–70. Sophia leads two complex demos with a house price dataset, Ethan drops flirty, hilarious code explanations, and Olivia adds spicy tips. Support our crew with a coffee at PayPal.me/DailyAIWizard! Perfect for beginners!

💻 Get ready for Day 72: Project: Classifying Iris Flowers—get excited for classification magic! Subscribe, like, and share your house_price_demo.py output in the comments! Connect with us on Discord, X, or Instagram (@DailyAIWizard) for more AI and jazz vibes. Code the Future, Wizards! 🌟


pay a coffee: https://www.paypal.com/pool/9j2tp7IvP...

#PythonForAI #LearnPython #AICoding #DailyAIWizard
Hashtags:

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

Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, Scikit-learn, Datasets, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future
1970s jazz, retro jazz, morning coffee, ocean views, vintage vibe, jazz playlist, positive music, coffee time, 70s music, smooth jazz, beachside jazz, funky jazz, relaxation music, morning vibes, instrumental jazz, Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, TensorFlow, Neural Networks, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future
Transcript
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.
Be the first to comment
Add your comment

Recommended