Intro to Machine Learning with Python: A Hands-On Guide to Building Intelligent Systems Using Python

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En stock

Peso con empaque:
0.49 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

The basics of machine learning and its real-world applications
How to prepare and clean your data for training machine learning models
Use Python libraries such as scikit-learn, Pandas, and NumPy for data manipulation and model building
Implement supervised learning techniques like linear regression, classification, and support vector machines
Explore unsupervised learning techniques such as k-means clustering and principal component analysis
Train, test, and evaluate models using metrics like accuracy, precision, and recall
Build and deploy machine learning models into production using Flask and Django
Understand deep learning with TensorFlow and Keras

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