From 1e64fd4f8f3cdb54fafc24aa192440ebecfac25e Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Mon, 8 Mar 2021 12:55:48 -0500 Subject: [PATCH] clarification --- 2-Regression/1-Tools/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/2-Regression/1-Tools/README.md b/2-Regression/1-Tools/README.md index 10e2b79c7..74191093b 100644 --- a/2-Regression/1-Tools/README.md +++ b/2-Regression/1-Tools/README.md @@ -12,6 +12,7 @@ In this lesson, you will learn: - Getting used to working with Jupyter notebooks - An introduction to Scikit-Learn, including installation - An introduction to Linear Regression with a hands-on exercise + ## Installations and Configurations [![Using Python with Visual Studio Code](https://img.youtube.com/vi/7EXd4_ttIuw/0.jpg)](https://youtu.be/7EXd4_ttIuw "Using Python with Visual Studio Code") @@ -62,7 +63,7 @@ According to their [website](https://scikit-learn.org/stable/getting_started.htm > 🎓 **Model Selection and Evaluation** is the process whereby data scientists evaluate the accuracy of a model by feeding it unseen data, selecting the most appropriate model for the task at hand. -In this course, you will use Scikit-Learn and other tools to build machine learning models to perform what we call 'traditional machine learning' tasks. We have deliberately avoided neural networks and deep learning, as they are better covered in our forthcoming 'AI and ML' curriculum. +In this course, you will use Scikit-Learn and other tools to build machine learning models to perform what we call 'traditional machine learning' tasks. We have deliberately avoided neural networks and deep learning, as they are better covered in our forthcoming 'AI for Beginners' curriculum. Scikit-Learn makes it straightforward to build models and evaluate them for use. It is primarily focused on using numeric data and contains several ready-made datasets for use as learning tools. It also includes pre-built models for students to try. Let's explore the process of loading prepackaged data and using a built in estimator first ML model with Scikit-Learn with some basic data. ## Your First Scikit-Learn Notebook