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Title: GitHub - sampathweb/practicalAI: πŸ“š A practical approach to machine learning to enable everyone to learn, explore and build. Β· GitHub

Open Graph Title: GitHub - sampathweb/practicalAI: πŸ“š A practical approach to machine learning to enable everyone to learn, explore and build.

X Title: GitHub - sampathweb/practicalAI: πŸ“š A practical approach to machine learning to enable everyone to learn, explore and build.

Description: πŸ“š A practical approach to machine learning to enable everyone to learn, explore and build. - sampathweb/practicalAI

Open Graph Description: πŸ“š A practical approach to machine learning to enable everyone to learn, explore and build. - sampathweb/practicalAI

X Description: πŸ“š A practical approach to machine learning to enable everyone to learn, explore and build. - sampathweb/practicalAI

Opengraph URL: https://github.com/sampathweb/practicalAI

X: @github

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https://practicalai.me
https://github.com/practicalAI/practicalAI
https://www.linkedin.com/company/practicalai-me
https://twitter.com/practicalAIme
Goku Mohandashttps://goku.me
contributors https://github.com/practicalAI/practicalAI/graphs/contributors
https://github.com/sampathweb/practicalAI#notebooks
https://practicalai.mehttps://practicalai.me
TensorFlow 2.0 + Kerashttps://tensorflow.org
notebookshttps://github.com/practicalAI/practicalAI/tree/master/notebooks
https://github.com/sampathweb/practicalAI#basic-ml
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TensorFlow 2.0 + Kerashttps://www.tensorflow.org/overview/
πŸ““ Notebookshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/00_Notebooks.ipynb
πŸ“ˆ Linear Regressionhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/04_Linear_Regression.ipynb
πŸ”Ž Data & Modelshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/07_Data_and_Models.ipynb
οΈπŸ–Ό Convolutional Neural Networkshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/10_Convolutional_Neural_Networks.ipynb
🐍 Pythonhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/01_Python.ipynb
πŸ“Š Logistic Regressionhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/05_Logistic_Regression.ipynb
πŸ›  Utilitieshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/08_Utilities.ipynb
πŸ‘‘ Embeddingshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/11_Embeddings.ipynb
πŸ”’ NumPyhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/02_NumPy.ipynb
οΈπŸŽ› Multilayer Perceptronshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/06_Multilayer_Perceptrons.ipynb
οΈβœ‚οΈ Preprocessinghttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/09_Preprocessing.ipynb
πŸ“— Recurrent Neural Networkshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/12_Recurrent_Neural_Networks.ipynb
🐼 Pandashttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/03_Pandas.ipynb
https://github.com/sampathweb/practicalAI#production-ml
Flaskhttp://flask.pocoo.org/
Dockerhttps://www.docker.com/
Kuberneteshttps://kubernetes.io/
Kubeflowhttps://www.kubeflow.org/
https://github.com/sampathweb/practicalAI#advanced-ml
https://github.com/sampathweb/practicalAI#topics
https://github.com/sampathweb/practicalAI#updates
πŸ“¬ Newsletterhttps://practicalai.me/#newsletter
practicalai.mehttps://practicalai.me
Readme https://github.com/sampathweb/practicalAI#readme-ov-file
MIT license https://github.com/sampathweb/practicalAI#MIT-1-ov-file
Code of conduct https://github.com/sampathweb/practicalAI#coc-ov-file
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Please reload this pagehttps://github.com/sampathweb/practicalAI
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