You will be able to find all of the code and the datasets that are used in this book in a GitHub repository exclusively created for this book. To find the repository, click on this link: https://github.com/PacktPublishing/Hands-On-Data-Preprocessing-in-Python. In this repository, you ...
This is the code repository for Hands-On Data Preprocessing in Python, published by Packt. Learn how to effectively prepare data for successful data analytics What is this book about? Data preprocessing is the first step in data visualization, data analytics, and machine learning, where data is...
This branch is 4 commits behind PacktPublishing/Hands-On-Data-Preprocessing-in-Python:main.Folders and files Name Last commit message Last commit date parent directory .. Chapter 16.ipynb code updates for pandas version 1_4_1 Mar 2, 2022 Compare Test_Prediction.png code updates for pandas vers...
Browse Library Advanced SearchSign In
The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery. Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory ...
你可以用 Python 的模块 pickle,非常方便地保存 Scikit-Learn 模型,或使用 sklearn.externals.joblib,后者序列化大 NumPy 数组更有效率 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from sklearn.externals import joblib joblib.dump(forest_reg, "my_forest.pkl") my_forest_model = joblib.load("my...
Thomas Dop is a data scientist at MagicLab, a company that creates leading dating apps, including Bumble and Badoo. He works on a variety of areas within data science, including NLP, deep learning, computer vision, and predictive modeling. He holds an MSc in data science from the University...
In unsupervised training, a model is trained on all data, including the unlabeled data, using an unsupervised learning technique, then it is fine-tuned for the final task on just the labeled data using a supervised learning technique; the unsupervised part may train one layer at a time as ...
This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in the second edition of my O'Reilly bookHands-on Machine Learning with Scikit-Learn, Keras and TensorFlow: ...
New dimension introduced in IoT (adapted from b-ITU-T Y.2060 report) It's predicted that IoT as a technology will have a far-reaching impact on people and the society we live in. To give you a glimpse of its far-reaching effects, consider the following scenarios: You, like me, live...