/6. Fundamentos dos modelos de classificação/1. Modelos de classificação/Modelos de classificação.ipynb.zip

/7. Abrindo a caixa preta Como os modelos aprendem/1. Como os modelos de Machine Learning aprendem/Abrindo a caixa preta.ipynb.zip

/8. Modelos inteligentes de árvores/1. Machine Learning com árvores de decisões/Modelos de árvores.ipynb.zip

/9. Unsupervised Learning/1. Os modelos de aprendizado não supervisionado/Unsupervised Learning.ipynb.zip

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/11 - Generative Models/002 VariationalAutoEncoders.ipynb

/11 - Generative Models/005 GAN-on-Fashion-MNIST.ipynb

/12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/007 Transformers-MLCourse.ipynb

/13 - The OpenAI API (Developing with GPT and ChatGPT)/007 MakingData.ipynb

/14 - Retrieval Augmented Generation (RAG)/002 Data-RAG.ipynb

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/10 - Machine Learning For NLP (Prerequisites)/004 4-Tokenization-Example-Using-NLTK.ipynb

/10 - Machine Learning For NLP (Prerequisites)/005 5-Stemming-And-Its-Types-Text-Preprocessing.ipynb

/10 - Machine Learning For NLP (Prerequisites)/006 6-Lemmatization-Text-Preprocessing.ipynb

/10 - Machine Learning For NLP (Prerequisites)/007 7-Text-Preprocessing-Stopwords-With-NLTK.ipynb

/10 - Machine Learning For NLP (Prerequisites)/008 8-Parts-Of-Speech-Tagging.ipynb

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/17 - Extra Materials/103 - Q-LEARNING-RL-2.ipynb

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/[TutsNode.net] - Google Advanced Data Analytics Professional Certificate/go-beyond-the-numbers-translate-data-into-insight/02_explore-raw-data/01_discovering-is-the-beginning-of-an-investigation/04_reference-guide-import-datasets-with-python_bigquery.ipynb

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/~Get Your Files Here !/10 - Functions in Python/1 -Python.ipynb

/~Get Your Files Here !/11 - Lambda Functions/1 -Python.ipynb

/~Get Your Files Here !/12 - Decorators and Generators/1 -Python.ipynb

/~Get Your Files Here !/12 - Decorators and Generators/2 -Python.ipynb

/~Get Your Files Here !/12 - Decorators and Generators/3 -Case Study- How to process large CSV files.ipynb

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/14. Essential Python Libraries for GenAI Requests & Pandas/15. 04 - Pandas Project - Analyzing Traffic.ipynb

/18. Diving into Google’s Gemini/8. 03 - gemini_api_building_chat_conversations.ipynb

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/exercise_files/2.-Set-up-and-Prompt-template-__-3.1-Prompt_Enginnering_Complete-2.ipynb

/exercise_files/3.-LLM-Properties-__-3.1-Loading_your_LLM-1.ipynb

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/~Get Your Files Here !/9 - Power-User Techniques & Integrations/3 -Module 9 api_quickstart.ipynb

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/3. Stage 1 Data Cleaning A - Z/7.1 Stage 1- Data Cleaning A-Z (Solution).ipynb

/4. Stage 2 Data Manipulation A-Z/6.1 Stage 2- Data Manipulation A-Z (Solution).ipynb

/5. Stage 3 Exploratory Data Analysis A-Z/8.1 Stage 3- Exploratory Data Analysis A-Z (Solution).ipynb

/7. Stage 5 Data Transformation A-Z/7.1 Stage 5- Data Transformation A-Z (Solution).ipynb

/8. Stage 6 Hypothesis Testing A-Z/5.1 Stage 6- Hypothesis Testing A-Z (Solution).ipynb

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