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**/.ipynb_checkpoints/
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‎README.md

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| title | studio lab |
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| :---: | ---: |
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| Introduction to ML | - |
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| Intro to NLP and Text Processing | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture1-Text-Process.ipynb)|
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| Bag of Words (BoW) | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture1-BOW.ipynb) |
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| K Nearest Neighbors (KNN) | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture1-KNN.ipynb) |
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| Final Project | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture1-Final-Project.ipynb)
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| Intro to NLP and Text Processing | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture1-Text-Process.ipynb)|
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| Bag of Words (BoW) | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture1-BOW.ipynb) |
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| K Nearest Neighbors (KNN) | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture1-KNN.ipynb) |
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| Final Project | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture1-Final-Project.ipynb)
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Lecture 2
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| title | studio lab |
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| :---: | ---: |
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| Tree-based Models | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github//aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture2-Tree-Models.ipynb)|
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| Regression Models |Linear Regression [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture2-Linear-Regression.ipynb) <br> Logistic Regression [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture2-Logistic-Regression.ipynb) |
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| Tree-based Models | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github//aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture2-Tree-Models.ipynb)|
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| Regression Models |Linear Regression [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture2-Linear-Regression.ipynb) <br> Logistic Regression [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture2-Logistic-Regression.ipynb) |
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| Optimization-Regularization | - |
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| Hyperparameter Tuning | - |
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| AWS AI/ML Services |[![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture2-Sagemaker.ipynb) |
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| Final Project | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture2-Final-Project.ipynb)|
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| Final Project | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture2-Final-Project.ipynb)|
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Lecture 3
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| title | studio lab |
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| :---: | ---: |
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| Neural Networks | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture3-Neural-Networks.ipynb) |
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| Word Embeddings | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture3-Word-Vectors.ipynb)|
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| Recurrent Neural Networks (RNN) | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github//aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture3-Recurrent-Neural-Networks.ipynb) |
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| Transformers |[![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture3-Neural-Networks.ipynb) |
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| Final Project | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture3-Final-Project.ipynb)|
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| Neural Networks | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture3-Neural-Networks-PyTorch.ipynb) |
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| Word Embeddings | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture3-Word-Vectors.ipynb)|
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| Recurrent Neural Networks (RNN) | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github//aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture3-Recurrent-Neural-Networks-PyTorch.ipynb) |
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| Final Project | [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture3-Final-Project.ipynb)|
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__Final Project:__ Practice working with a "real-world" NLP dataset for the final project. Final project dataset is in the [data/final_project folder](https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/tree/master/data/final_project). For more details on the final project, check out [this notebook](https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture1-Final-Project.ipynb).
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__Final Project:__ Practice working with a "real-world" NLP dataset for the final project. Final project dataset is in the [data/final_project folder](https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/tree/main/data/final_project). For more details on the final project, check out [this notebook](https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/main/notebooks/MLA-NLP-Lecture1-Final-Project.ipynb).
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## Interactives/Visuals
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Interested in visual, interactive explanations of core machine learning concepts? Check out our [MLU-Explain articles](https://mlu-explain.github.io/) to learn at your own pace!

‎mlu-nlp.yml

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‎notebooks/MLA-NLP-Lecture1-BOW.ipynb

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{
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"<mluvisuals.BagOfWords at 0x7fdca12c4910>"
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"4. <a href=\"#4\">Term Frequency-Inverse Document Frequencies</a>\n"
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"Note: you may need to restart the kernel to use updated packages.\n"
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}
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"/home/ec2-user/anaconda3/envs/pytorch_p39/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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