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Title: GitHub - singlav/practicalAI: πŸ“š A practical approach to machine learning. Β· GitHub

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Description: πŸ“š A practical approach to machine learning. Contribute to singlav/practicalAI development by creating an account on GitHub.

Open Graph Description: πŸ“š A practical approach to machine learning. Contribute to singlav/practicalAI development by creating an account on GitHub.

X Description: πŸ“š A practical approach to machine learning. Contribute to singlav/practicalAI development by creating an account on GitHub.

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πŸ”Ž Data & Modelshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/07_Data_and_Models.ipynb
οΈπŸ–Ό Convolutional Neural Networkshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/10_Convolutional_Neural_Networks.ipynb
🐍 Pythonhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/01_Python.ipynb
πŸ“Š Logistic Regressionhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/05_Logistic_Regression.ipynb
πŸ›  Utilitieshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/08_Utilities.ipynb
πŸ‘‘ Embeddingshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/11_Embeddings.ipynb
πŸ”’ NumPyhttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/02_NumPy.ipynb
οΈπŸŽ› Multilayer Perceptronshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/06_Multilayer_Perceptrons.ipynb
οΈβœ‚οΈ Preprocessinghttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/09_Preprocessing.ipynb
πŸ“— Recurrent Neural Networkshttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/12_Recurrent_Neural_Networks.ipynb
🐼 Pandashttps://colab.research.google.com/github/practicalAI/practicalAI/blob/master/notebooks/basic_ml/03_Pandas.ipynb
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