AI Projects with Python, TensorFlow, and NLTK
24mIntermediate2024-03-20
Authors

Dhhyey Desai
Google-Certified Python Expert, Microsoft-Certified Instructor
Course details
Are you looking to boost your technical know-how with AI? This course is designed to help you develop the skills you need to know to start building your own AI projects in Python. Join instructor and Google Certified Python Expert Dhhyey Desai as he delves into the fundamentals of image classification using the powerful TensorFlow library. The second section of the course is focused on natural language processing (NLP) and the core concepts of sentiment analysis. Along the way, get introduced to the NLTK library, discovering how to use pretrained analyzers and gathering techniques for accurately analyzing text data. By the end of this course, you’ll be prepared to create a personalized model with TorchRec, the PyTorch domain library that lets you build and analyze your own recommender systems for rating data.
Skills covered
TensorFlowNeural Networks and Deep LearningArtificial Intelligence FoundationsPythonGoogleArtificial Intelligence (AI)Programming LanguagesOpen SourceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - AI projects with Python, TensorFlow, and NLTK
- 02 - How to use Codespaces with this course
1. Image Classification
- 03 - What is TensorFlow
- 04 - Creating the modal
- 05 - Evaluating the modal
2. Sentiment Analysis
- 06 - What is NLTK
- 07 - Using NLTK's pretrained analyzer
- 08 - Increasing the accuracy of your analysis
3. Recommendation System
- 09 - Creating the modal
- 10 - Finalizing the modal
Conclusion
- 11 - Next steps
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- MLOps Essentials: Monitoring Model Drift and Bias
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- TensorFlow: Working with NLP