consistent naming

Author: joaquinvanschoren

intro.md

@@ -12,7 +12,7 @@ Upon opening the notebooks, you can <i class="fas fa-rocket"></i> launch them in
 | 2 | [Linear Models](https://ml-course.github.io/master/notebooks/linear-models)           | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/02%20-%20Linear%20Models.pdf)      | [Youtube](https://www.youtube.com/watch?v=xH2N5wODyMw&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |[Youtube](https://www.youtube.com/watch?v=LuPh8LYpVL4&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |
 | 3 | [Model Evaluation](https://ml-course.github.io/master/notebooks/model-evaluation)       | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/03%20-%20Model%20Evaluation.pdf)    | [Youtube](https://www.youtube.com/watch?v=MzM87e-gC4s&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-)<sup>2</sup> |
 | 4 | [Ensemble Learning](https://ml-course.github.io/master/notebooks/ensemble-learning)   | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/04%20-%20Ensemble%20Learning.pdf)  | [Youtube](https://www.youtube.com/watch?v=cXwdHWJcqYs&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |
-| 5 | [Data Preprocessing](https://ml-course.github.io/master/notebooks/data-preprocessing) | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/05%20-%20Data%20Preprocessing.pdf) | [Youtube](https://www.youtube.com/watch?v=4jbJOCNR4P4&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |[Youtube](https://www.youtube.com/watch?v=uhHNU8meMSA&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |
+| 5 | [Data Engineering](https://ml-course.github.io/master/notebooks/data-preprocessing) | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/05%20-%20Data%20Preprocessing.pdf) | [Youtube](https://www.youtube.com/watch?v=4jbJOCNR4P4&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |[Youtube](https://www.youtube.com/watch?v=uhHNU8meMSA&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |
 | 6 | [Neural Networks](https://ml-course.github.io/master/notebooks/neural-networks)  | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/06%20-%20Neural%20Networks.pdf)  | [Youtube](https://www.youtube.com/watch?v=CgAMLWZE-yU&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |
 | 7 | [Convolutional Neural Networks](https://ml-course.github.io/master/notebooks/convolutional-neural-networks)   | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/07%20-%20Convolutional%20Neural%20Networks.pdf)  | [Youtube](https://www.youtube.com/watch?v=xNd_lPE2UtU&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |
 | 8 | [Transformers](https://ml-course.github.io/master/notebooks/transformers)<sup>1</sup>   | [PDF](https://github.com/ML-course/master/blob/master/slides_pdf/08%20-%20Transformers.pdf)  | [Youtube](https://www.youtube.com/watch?v=THbqTlVNIPg&list=PLl4kuMJ32K2r2CUKkZSVVxDnjB4NM335-) |

myst.yml

@@ -15,7 +15,7 @@ project:
         - file: notebooks/02 - Linear Models.ipynb
         - file: notebooks/03 - Model Evaluation.ipynb
         - file: notebooks/04 - Ensemble Learning.ipynb
-        - file: notebooks/05 - Data Preprocessing.ipynb
+        - file: notebooks/05 - Data Engineering.ipynb
         - file: notebooks/06 - Neural Networks.ipynb
         - file: notebooks/07 - Convolutional Neural Networks.ipynb
         - file: notebooks/08 - Transformers.ipynb

notebooks/05 - Data Preprocessing.ipynb notebooks/05 - Data Engineering.ipynbnotebooks/05 - Data Preprocessing.ipynb renamed to notebooks/05 - Data Engineering.ipynb

@@ -8,7 +8,7 @@
     }
    },
    "source": [
-    "# Lecture 5. Data preprocessing\n",
+    "# Lecture 5. Data engineering\n",
     "\n",
     "**Real-world machine learning pipelines**\n",
     "\n",