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Project Based Learning A list of programming tutorials in which learners build an application from scratch. These tutorials are divided into different primary programming languages. Some have intermixed technologies and languages. To get started, simply fork this repo. Please refer toCONTRIBUTING.mdfor ...
下面就开始动手操作了,代码位于https://github.com/ageron/handson-ml。 2.3.1 创建工作空间(Create the Workspace) 安装Python、安装Jupyter Notebook 2.3.2 下载数据 fetch_housing_data函数负责,代码里面有。 2.3.3 浏览数据(Take a Quick Look at the Data Structure) 介绍了pandas DataFrame里面的一些函数:he...
State Machine Design in C - by David Lafreniere See other related GitHub repositories: State Machine Design in C++ - by David Lafreniere C Language State Machine with Threads - by David Lafreniere Background A common design technique in the repertoire of most programmers is the venerable finite...
We have released the InnerEye Deep Learning Toolkit as open-source software on GitHub (opens in new tab)to make this ML library and technical components available to as many people and organizations as possible. The InnerEye Deep Learning Toolkit (opens in new tab) can be used by ...
DOWNLOAD_ROOT="https://raw.githubusercontent.com/ageron/handson-ml2/master/"#本地接收地址HOUSING_PATH=os.path.join("datasets","housing")#远端下载地址HOUSING_URL=DOWNLOAD_ROOT+"datasets/housing/housing.tgz"deffetch_housing_data(housing_url=HOUSING_URL,housing_path=HOUSING_PATH):#os.makedirs与os...
Course Name & Code:[Machine Learning Lab] (CSE-5211) Project Overview This project focuses on predicting life expectancy using machine learning techniques by analyzing various socio-economic, demographic, and health-related factors. It aims to provide actionable insights into how these variables influen...
jm4157/Machine-Learning-Project-Imain 1 Branch 0 Tags Code This branch is 3 commits behind eco438/Machine-Learning-Project-I:main.Folders and filesLatest commit eco438 Add files via upload 779d05e· Apr 13, 2022 History2 Commits .gitignore Initial commit Apr 9, 2022...
Dataset is from the popular "Titanic - Machine Learning from Disaster" Kaggle competition Performed data preprocessing/cleaning, Exploratory Data Analysis, Feature Engineering, and Model Building About No description, website, or topics provided. Resources Readme Activity Stars 0 stars Watchers ...