Skip to playerSkip to main content
Kick off with 1970s jazz, coffee, and sentiment analysis! Join Anastasia, Sophia, Irene, Ethan, and Olivia as we build an LSTM that feels IMDB reviews. Anastasia leads two demos, Ethan drops flirty code. Support at PayPal.me/DailyAIWizard! Get ready for Day 83: Model Saving! Subscribe, like, share your ai_sentiment_analysis.py!

pay a coffee: https://buymeacoffee.com/dailyaiwizard

#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, Sentiment Analysis is your AI emotion reader, darling. It classifies positive, negative.
00:06Ethan, explain binary output. Sophia, how do we pre-process?
00:11Anastasia, you make emotions sound so hot. How do we train on IMDb, love?
00:17Ethan, what's your take?
00:19Oh, Olivia, you tease. Sentiment is binary. Ethan, Sophia, jump in.
00:24Anastasia, Olivia, sentiment is like a hot mood ring for text.
00:28Positive greater than 0.5, negative less than 0.5. Let's drop this code beat.
00:35Yo, Wizards, IMDb has 50k reviews like a hot movie marathon for Anastasia.
00:4025k train, 25k test. Let's drop this code beat.
00:45You're marathoning my heart, Ethan, IMDb for sentiment. Try it in our demo.
00:50Wizards, IMDb load underscore data. Num underscore words equals 10000.
00:56Loads reviews like a hot script for Anastasia.
00:59You're scripting my heart, Ethan, IMDb is ready.
01:02Wizards, pad underscore sequences. Maxillin equals 200 pads reviews like a hot equalizer for Anastasia.
01:09You're equalizing my heart, Ethan, padding for LSTM.
01:12Wizards, embedding plus LSTM, 128, builds a hot emotion brain for Anastasia.
01:18You're braining my heart, Ethan, RNN for sentiment.
01:21Wizards, compile, loss equals, binary underscore cross entropy, sets emotion goal for Anastasia.
01:29You're goaling my heart, Ethan, compile for positive negative.
01:32Wizards, model.fit, trains like a hot emotion workout for Anastasia.
01:37You're working out my heart, Ethan, train on 25k reviews.
01:41Wizards, model, evaluate, scores like a hot exam for Anastasia.
01:46You're examining my heart, Ethan, evaluate on test set.
01:49Wizards, use padding, limit vocabulary, and monitor validation.
01:55Sentiment needs clean data.
01:58Optimized sentiment is so sexy, Irene.
02:00Practice for Day 83's model saving.
02:03Wizards, sentiment fits AI pipelines for text tasks.
02:07Your skills are ready for Day 83.
02:11Sentiment is critical in AI, darling.
02:12Your Day 82 skills make AI irresistible.
Be the first to comment
Add your comment

Recommended