From the course: Python for AI Projects: From Data Exploration to Impact
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Turning Raw Text into Business Insights with Python and NLP - Python Tutorial
From the course: Python for AI Projects: From Data Exploration to Impact
Turning Raw Text into Business Insights with Python and NLP
- [Instructor] Welcome to the practical coding section of Python for AI Projects. Using the simple link provided in the course materials, we can open up our Jupyter Notebook in the Google Colab environment. These notebooks are designed to be fully self-paced coding tutorials, which you can go through at your own leisure. You can imagine that we're pair programming the challenge exercises together, where I'll be providing lots of detailed explanations throughout the entire process. Before we run any code cells, we'll need to make sure we're using the GPU runtime for faster code execution. This is super-important when running local large language models. In this NLP-focused notebook, we'll try to solve three challenges together. We'll be using our locations NLP dataset for all of these exercises. First, we'll do some data exploration before implementing a few variations of search functionality, which we could…
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Data exploration4m 48s
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Training data pipeline4m 49s
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Turning Raw Text into Business Insights with Python and NLP8m 34s
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Model fitting7m 9s
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Building Smarter Search: From Keywords to Semantic AI2m 33s
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Model metrics10m 41s
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From Search to Answers: Building AI Knowledge Solutions5m 21s
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