refactor random forest

Author: lpm0073

README.md

@@ -1,5 +1,5 @@
-[![Source code](https://img.shields.io/static/v1?logo=github&label=Git&style=flat-square&color=brightgreen&message=Source%20code)](https://github.com/FullStackWithLawrence/006-scikit-learn-logistic-regression)
-[![Documentation](https://img.shields.io/static/v1?&label=Documentation&style=flat-square&color=000000&message=Documentation)](https://github.com/FullStackWithLawrence/006-scikit-learn-logistic-regression)
+[![Source code](https://img.shields.io/static/v1?logo=github&label=Git&style=flat-square&color=brightgreen&message=Source%20code)](https://github.com/FullStackWithLawrence/009-scikit-learn-random-forest)
+[![Documentation](https://img.shields.io/static/v1?&label=Documentation&style=flat-square&color=000000&message=Documentation)](https://github.com/FullStackWithLawrence/009-scikit-learn-random-forest)
 [![AGPL License](https://img.shields.io/github/license/overhangio/tutor.svg?style=flat-square)](https://www.gnu.org/licenses/agpl-3.0.en.html)
 [![hack.d Lawrence McDaniel](https://img.shields.io/badge/hack.d-Lawrence%20McDaniel-orange.svg)](https://lawrencemcdaniel.com)
 
@@ -25,8 +25,8 @@ Note that freely downloadable [VS Code](https://code.visualstudio.com/) natively
 The included Python module scaffolds the implemntation of a model that would ostensibly be used in a production setting. Be aware that accordingly, this module excludes all code for analysis, QC and corrections to the included data set.
 
 ```console
-foo@bar:~$ git clone https://github.com/FullStackWithLawrence/006-scikit-learn-logistic-regression.git
-foo@bar:~$ cd 006-scikit-learn-logistic-regression
+foo@bar:~$ git clone https://github.com/FullStackWithLawrence/009-scikit-learn-random-forest.git
+foo@bar:~$ cd 009-scikit-learn-random-forest
 foo@bar:~$ pip install -r requirements.txt
 
 # run the  code from the command line
@@ -37,7 +37,7 @@ foo@bar:~$ python logistic-regression.py
 
 There's an easy way to get Jupyter Notebooks working immediately, by downloading an application named [Anaconda Navigator](https://www.anaconda.com/) that is freely available for both Windows and Mac.
 
-![Anaconda](https://github.com/FullStackWithLawrence/006-scikit-learn-logistic-regression/blob/main/doc/anaconda.png)
+![Anaconda](https://github.com/FullStackWithLawrence/009-scikit-learn-random-forest/blob/main/doc/anaconda.png)
 
 ### If You're New to Python
 
@@ -99,4 +99,4 @@ foo@bar:~$
 foo@bar:~$ pre-commit
 ```
 
-![pre-commit output](https://github.com/FullStackWithLawrence/006-scikit-learn-logistic-regression/blob/main/doc/pre-commit.png)
+![pre-commit output](https://github.com/FullStackWithLawrence/009-scikit-learn-random-forest/blob/main/doc/pre-commit.png)