Machine Learning in JUST ONE LINE OF CODE | Libra | Python # 12
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Libra allows you to build and train all sorts of machine learning models in ONE LINE OF CODE.
📚About
We will build two neural networks (each using one line of code) where both aim at estimating California Housing Prices. The California Housing Prices dataset is found on Kaggle and is also using in the Chapter 2 of Aurélien Géron's book entitled 'Hands-On Machine learning with Scikit-Learn and TensorFlow'.
📖 Related Content
Libra website: https://github.com/Palashio/libra/
California Housing Prices Dataset: https://www.kaggle.com/camnugent/cali...
Learn more about performance measures: • Performance Measures - Machine Learni...
Pandas: https://pandas.pydata.org/
Google Chrome: https://www.google.com/chrome/
Jupyter notebook: https://jupyter.org/
Kaggle: https://www.kaggle.com/
⏲Outline
00:00 Introduction
01:16 Installing Libra
02:23 Importing the California Housing Prices dataset
03:12 Creating a client object
03:55 Exploring the California Housing Prices dataset with Pandas
04:53 Neural Network training in one line
06:32 Analyzing the neural network in one line
07:55 Accuracy of the neural network in one line
08:27 Losses of the neural network in one line
08:46 Training Median of California Housing Prices in one line
10:46 Outro
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