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Convolutional Neural Networks (CNN) with TensorFlow Tutorial

Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with Tensorflow Framework 2
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Zoumana Keita

14 апреля 2023 г.

How to Do Principal Component Analysis (PCA) in Python

Learn about PCA and how it can be leveraged to extract information from the data without any supervision using two popular datasets: Breast Cancer and CIFAR-10.
Aditya Sharma's photo

Aditya Sharma

1 октября 2024 г.

Probability Distributions in Python Tutorial

In this tutorial, you'll learn about and how to code in Python the probability distributions commonly referenced in machine learning literature.
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DataCamp Team

30 декабря 2019 г.

Support Vector Machines with Scikit-learn Tutorial

In this tutorial, you'll learn about Support Vector Machines, one of the most popular and widely used supervised machine learning algorithms.
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Avinash Navlani

27 декабря 2019 г.

Understanding Logistic Regression in Python

Learn about logistic regression, its basic properties, and build a machine learning model on a real-world application in Python using scikit-learn.
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Avinash Navlani

11 августа 2024 г.

Keras Tutorial: Deep Learning in Python

This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
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Karlijn Willems

10 декабря 2019 г.

Using TensorFlow 2.0 to Compose Music Tutorial

In this tutorial, you will learn how to train generative models to compose music in TensorFlow 2.0.
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Isaiah Hull

9 декабря 2019 г.

Using XGBoost in Python Tutorial

Discover the power of XGBoost, one of the most popular machine learning frameworks among data scientists, with this step-by-step tutorial in Python.
Bexruz (Bex) Tuychiev's photo

Bexruz (Bex) Tuychiev

22 февраля 2023 г.

Cluster Analysis in Tableau

Learn how to easily cluster your data in Tableau with its built-in clustering tool.
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Parul Pandey

28 июня 2019 г.

Ten Important Updates from TensorFlow 2.0

Go through the ten most important updates introduced in the newly released TensorFlow 2.0, and learn how to implement some of them.
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Sayak Paul

29 мая 2019 г.