To fix this, Alex performed , breaking sentences into individual words or "tokens." Then, Alex applied Lowercasing so "The" and "the" became the same. Finally, Alex used Stop Word Removal to toss out common but unhelpful words like "is," "and," and "at," leaving only the meat of the message. Step 2: Translating to Bird-Speak (Vectorization)
Once upon a time in the digital kingdom of Silicon Valley, there lived a young apprentice named Alex. Alex was a "Data Whisperer" in training, eager to learn the ancient art of . nlp for beginners
If the coordinates felt "grumpy," it went into the bin. To fix this, Alex performed , breaking sentences