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Python机器学习算法基础全套教程:回归算法、聚类算法、决策树、随机森林、神经网络、贝叶斯算法、支持向量机等机器学习算法一口气学完! 1095 -- 19:13:49 App 【一起啃书】深度学习花书白话解读!35集完整版,《Deep Learning》号称深度学习“圣经”究竟有那么强吗? 2.1万 1615 8:51:39 App 2024 最新Python办公自动...
Tutorial ChatterBot: Build a Chatbot With Python Chatbots can help to provide real-time customer support and are a valuable asset in many industries. When you understand the basics of the ChatterBot library, you can build and train a self-learning chatbot with just a few lines of Python code...
15 ) Machine Learning Tutorial in Python (2018) 《Machine Learning Tutorial in Python》(2018) FREE TIME:37h30m LINK:https://www.courseduck.com/machine-learning-tutorial-in-python-171/ Edureka在“ Python机器学习教程”中的播放列表可帮助您获得各种类型的机器学习算法的专业知识,例如监督,无监督和增强...
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In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Udemy instructor Frank Kane helps de-mystify the world of deep learning and artificial neural networks with Python! In less than 3 hours, you can understand the theory behind modern artificial intel...
Machine Learning with text data can be very useful for social networks analytics for instance to perform sentiment analysis. Extracting a "machine learnable" representation from raw text is an art in itself. In this session we will introduce the bag of words representation and its implementation ...
Iris 数据集,这是很经典的数据集,scikit-learn tutorial 中常用的基础示例数据集。着重介绍了 cross-validation (周华志-机器学习,中的模型评估有很好的总结)。误差:训练误差、测试误差、泛化误差。我们终极目标是:降低泛化误差。更复杂的分类器:模型结构(阈值划分特征)、搜索过程(尽可能多的尝试所有特征组合和阈值组...
"Some Essential Hacks and Tricks for Machine Learning with Python" Essential tutorial-type notebooks on Pandas and Numpy Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Detailed Numpy operations Detailed Pandas operations Nu...
Python Machine Learning Notebooks Essential codes for jump-starting machine learning/data science with Python Essential tutorial-type notebooks on Pandas and Numpy Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, matplotlib etc. Tutorial-type...