Click here for a web version of these instructions, with a table of contents sidebar. Click here for the web version of the Installation Overview. Click here for the Troubleshooting lessons/docs. If you just installedd your dojo-env for the first time, skip this step! If you already have dojo-env installed on your computer, you must first rename it or remove it. Note: these instructions are intended non-OS-specific. Your terminal may not look exactly like the examples in the screenshots (for example, the file paths for the environments will be very different). However, the steps are the same across all platforms.

Click here for a web version of these instructions, with a table of contents sidebar. Click here for the web version of the Installation Overview. Click here for the Troubleshooting lessons/docs. Table of Contents Step 1) Download and install required applications Step 1.1) Install Tool #1: Terminal Step 1.2) Install Tool #2: GitHub Desktop

Click here for the web version of these instructions, with a table of contents sidebar. Click here for the web version of the Installation Overview. Click here for the Troubleshooting lessons/docs. Table of Contents Step 1) Download and install required applications Step 1.1) Install Tool #1: Terminal Step 1.2) Install Tool #2: GitHub Desktop

Click here for a web version of these instructions, with a table of contents sidebar. Click here for the web version of the Installation Overview. Click here for the Troubleshooting lessons/docs. Table of Contents Step 1) Download and install required applications Step 1.1) Install Tool #1: Windows Terminal with GitBashStep 1.1.0) Install Windows Terminal Step 1.1.1) Install Git for Windows

So far in this program, you have worked in Google Colab, which provides a cloud-based coding environment. We will transition to using a Python environment stored on your local machine.Jupyter Notebook will replace Google Colab. GitHub Desktop will sync your work. Installation Timeline/Deadline In the Data Enrichment course, you will need to submit a CORE ASSIGNMENT containing the error-free test notebook that is included within these instructions. This will ensure that you have the tools you will need to be successful. We recommend you begin the step-by-step installation AS SOON AS POSSIBLE to ensure you have time to troubleshoot any difficulties you may encounter. These steps should take ~30-90 minutes, depending on the speed of your machine and internet connection. If you run into issues during installation, see the "How to Ask for Help" secton at the bottom of this page.

Table of Contents Step 1) Download and install required applications Step 1.1) Install Tool #1: Windows Terminal with GitBashStep 1.1.0) Install Windows Terminal Step 1.1.1) Install Git for Windows Step 1.1.2) Make GitBash the Default Profile in Windows Terminal Step 1.1.3) Confirm that your default shell is set to GitBash Step 1.2) Install Tool #2: GitHub Desktop

Testing using custom instructions to alter responses to optimize for educational purposes. Summary Notes: Tried ChatGPTv3.5 and Chat GPTv4, both with and without custom instructions. (See below) Winner: ChatGPTv4 + Custom Instructions: I am a data scientist and curriculum writer for an online coding boot camp. I am always trying to simplify my answers so my audience can understand. My audience is a mix of adults ages 20 - 60 of mixed educational backgrounds, with 20% of the students being non-native English speakers with no guaranteed math background.

So far in this program, you have been working in Google Colab which provides a cloud-based coding environment. We will be transitioning to using a Python environment stored on your local machine. You will be working in Jupyter Notebook, which is very common in the data industry. In addition, these instructions will include the installation of Github Desktop and Visual Studio Code (VS Code). In the Advanced Machine Learning course, you will need to submit a CORE ASSIGNMENT containing the error-free test notebook that is included within these instructions. This will ensure that you have the tools you will need to be successful. We recommend you begin the step-by-step installation AS SOON AS POSSIBLE to ensure you have time to troubleshoot any difficulties you may encounter. If you run into issues during installation, post your questions/issues on the ds-python-installation Discord channel, and tag your instructor in your question (e.g. @dojo_Instructor_name). These steps should take ~30-90 minutes, depending on the speed of your machine and internet connection. The dojo-env-setup repository, which you will clone in Step 2.1, contains a backup copy of the entire set of instructions on the README, for convenience. Note: if you previously installed the dojo-env and are upgrading to the current version, please see the "Updating to New dojo-env" at the end of this chapter (after the Final Notes lesson)

(Private)Repo URL: https://github.com/coding-dojo-data-science/ds-curriculum-resources Files of Note: Assets/Assets-icons-templates.md Assets/Templates.md Assets/tables.md LP Vocabulary

Data Dictionary Source (Kaggle) SalePrice - the property's sale price in dollars. This is the target variable that you're trying to predict for this challenge. MSSubClass: The building class 20 1-STORY 1946 & NEWER ALL STYLES 30 1-STORY 1945 & OLDER 40 1-STORY W/FINISHED ATTIC ALL AGES 45 1-1/2 STORY - UNFINISHED ALL AGES 50 1-1/2 STORY FINISHED ALL AGES 60 2-STORY 1946 & NEWER