Machine learning with Python cookbook: practical solutions from preprocessing to deep learning

Machine Learning with Python Cookbook: P

📁 Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

✍ Chris Albon 📂 Library 📅 2018 🏛 O’Reilly Media 🌐 English

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data

Machine learning with Python cookbook :

📁 Machine learning with Python cookbook : practical solutions from preprocessing to deep learning

✍ Chris Albon 📂 Library 📅 2018 🏛 O'Reilly Media, Inc. 🌐 English

With Early Release ebooks, you get books in their earliest form--the author's raw and unedited content as he or she writes--so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters ar

Machine learning with Python cookbook: p

📁 Machine learning with Python cookbook: practical solutions from preprocessing to deep learning

✍ Albon, Chris 📂 Library 📅 2018 🏛 O'Reilly Media, Inc. 🌐 English

Vectors, matrices, and arrays -- Loading data -- Data wrangling -- Handling numerical data -- Handling categorical data -- Handling text -- Handling dates and times -- Handling images -- Dimensionalit reduction using feature extraction -- Dimensionality reduction using feature selection -- Model eva

Machine learning with Python cookbook: p

📁 Machine learning with Python cookbook: practical solutions from preprocessing to deep learning

✍ Albon, Chris 📂 Library 📅 2018 🏛 O'Reilly Media, Inc. 🌐 English

Vectors, matrices, and arrays -- Loading data -- Data wrangling -- Handling numerical data -- Handling categorical data -- Handling text -- Handling dates and times -- Handling images -- Dimensionalit reduction using feature extraction -- Dimensionality reduction using feature selection -- Model eva

Machine learning with Python cookbook: p

📁 Machine learning with Python cookbook: practical solutions from preprocessing to deep learning

✍ Albon, Chris 📂 Library 📅 2018 🏛 O'Reilly Media 🌐 English

Vectors, matrices, and arrays -- Loading data -- Data wrangling -- Handling numerical data -- Handling categorical data -- Handling text -- Handling dates and times -- Handling images -- Dimensionalit reduction using feature extraction -- Dimensionality reduction using feature selection -- Model eva

Machine Learning with Python Cookbook: P

📁 Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

✍ Kyle Gallatin, Chris Albon 📂 Library 📅 2023 🏛 O'Reilly Media 🌐 English

<p><span>This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading

Machine learning with Python cookbook: practical solutions from preprocessing to deep learning

✦ Synopsis