From cdd0dfb8baddaebb2dcdfe987bda759ae5374245 Mon Sep 17 00:00:00 2001 From: "Charles Emmanuel S. Ndiaye" Date: Mon, 19 Jul 2021 12:32:28 +0000 Subject: [PATCH 1/4] Update the links to redirect to translated pages --- 1-Introduction/translations/README.fr.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/1-Introduction/translations/README.fr.md b/1-Introduction/translations/README.fr.md index c27f9bef..462dea70 100644 --- a/1-Introduction/translations/README.fr.md +++ b/1-Introduction/translations/README.fr.md @@ -7,10 +7,10 @@ Dans cette section du programme, vous découvrirez les concepts de base sous-jac ### Leçons -1. [Introduction au machine learning](1-intro-to-ML/README.md) -1. [L’histoire du machine learning et de l’IA](2-history-of-ML/README.md) -1. [Équité et machine learning](3-équité/README.md) -1. [Techniques de machine learning](4-techniques-of-ML/README.md) +1. [Introduction au machine learning](../1-intro-to-ML/translations/README.fr.md) +1. [L’histoire du machine learning et de l’IA](../2-history-of-ML/translations/README.fr.md) +1. [Équité et machine learning](../3-fairness/translations/README.fr.md) +1. [Techniques de machine learning](../4-techniques-of-ML/translations/README.fr.md) ### Crédits "Introduction au machine learning" a été écrit avec ♥️ par une équipe de personnes comprenant [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan), [Ornella Altunyan](https://twitter.com/ornelladotcom) et [Jen Looper](https://twitter.com/jenlooper) From 7bb38cd9d98a11e97bb74ee58927f24c2d928a32 Mon Sep 17 00:00:00 2001 From: "Charles Emmanuel S. Ndiaye" Date: Mon, 19 Jul 2021 12:38:53 +0000 Subject: [PATCH 2/4] update the quiz links to the french translation --- 1-Introduction/1-intro-to-ML/translations/README.fr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/1-Introduction/1-intro-to-ML/translations/README.fr.md b/1-Introduction/1-intro-to-ML/translations/README.fr.md index 0d07a5e8..d8915f58 100644 --- a/1-Introduction/1-intro-to-ML/translations/README.fr.md +++ b/1-Introduction/1-intro-to-ML/translations/README.fr.md @@ -4,7 +4,7 @@ > 🎥 Cliquer sur l'image ci-dessus afin de regarder une vidéo expliquant la différence entre machine learning, AI et deep learning. -## [Quiz préalable](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1/) +## [Quiz préalable](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1?loc=fr) ### Introduction @@ -98,7 +98,7 @@ Dans un avenir proche, comprendre les bases du machine learning sera indispensab Esquisser, sur papier ou à l'aide d'une application en ligne comme [Excalidraw](https://excalidraw.com/), votre compréhension des différences entre l'IA, le ML, le deep learning et la data science. Ajouter quelques idées de problèmes que chacune de ces techniques est bonne à résoudre. -## [Quiz de validation des connaissances](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2/) +## [Quiz de validation des connaissances](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2?loc=fr) ## Révision et auto-apprentissage From 2cbe730dd959bc6ce906c0ea0dd5b7b42dacfc40 Mon Sep 17 00:00:00 2001 From: "Charles Emmanuel S. Ndiaye" Date: Mon, 19 Jul 2021 12:40:20 +0000 Subject: [PATCH 3/4] update the quiz links to the french translation --- 1-Introduction/2-history-of-ML/translations/README.fr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/1-Introduction/2-history-of-ML/translations/README.fr.md b/1-Introduction/2-history-of-ML/translations/README.fr.md index 66132162..9c59eb6f 100644 --- a/1-Introduction/2-history-of-ML/translations/README.fr.md +++ b/1-Introduction/2-history-of-ML/translations/README.fr.md @@ -3,7 +3,7 @@ ![Résumé de l'histoire du machine learning dans un sketchnote](../../../sketchnotes/ml-history.png) > Sketchnote de [Tomomi Imura](https://www.twitter.com/girlie_mac) -## [Quizz préalable](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/) +## [Quizz préalable](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3?loc=fr) Dans cette leçon, nous allons parcourir les principales étapes de l'histoire du machine learning et de l'intelligence artificielle. @@ -102,7 +102,7 @@ Reste à savoir ce que l'avenir nous réserve, mais il est important de comprend Plongez dans l'un de ces moments historiques et apprenez-en plus sur les personnes derrière ceux-ci. Il y a des personnalités fascinantes, et aucune découverte scientifique n'a jamais été créée avec un vide culturel. Que découvrez-vous ? -## [Quiz de validation des connaissances](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4/) +## [Quiz de validation des connaissances](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4?loc=fr) ## Révision et auto-apprentissage From 60526b022f0d2d098693448d361972613f20ed4d Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Mon, 19 Jul 2021 10:20:02 -0400 Subject: [PATCH 4/4] changing classification file name to cleaned_cuisines --- 4-Classification/1-Introduction/README.md | 2 +- 4-Classification/1-Introduction/solution/notebook.ipynb | 2 +- 4-Classification/1-Introduction/translations/README.tr.md | 2 +- 4-Classification/1-Introduction/translations/README.zh-cn.md | 2 +- 4-Classification/2-Classifiers-1/README.md | 2 +- 4-Classification/2-Classifiers-1/solution/notebook.ipynb | 2 +- 4-Classification/3-Classifiers-2/README.md | 2 +- 4-Classification/3-Classifiers-2/notebook.ipynb | 2 +- 4-Classification/3-Classifiers-2/solution/notebook.ipynb | 2 +- 4-Classification/4-Applied/README.md | 2 +- 4-Classification/4-Applied/solution/notebook.ipynb | 2 +- .../data/{cleaned_cuisine.csv => cleaned_cuisines.csv} | 0 12 files changed, 11 insertions(+), 11 deletions(-) rename 4-Classification/data/{cleaned_cuisine.csv => cleaned_cuisines.csv} (100%) diff --git a/4-Classification/1-Introduction/README.md b/4-Classification/1-Introduction/README.md index 4490131c..8e075f0e 100644 --- a/4-Classification/1-Introduction/README.md +++ b/4-Classification/1-Introduction/README.md @@ -275,7 +275,7 @@ Now that you have cleaned the data, use [SMOTE](https://imbalanced-learn.org/dev ```python transformed_df.head() transformed_df.info() - transformed_df.to_csv("../data/cleaned_cuisine.csv") + transformed_df.to_csv("../data/cleaned_cuisines.csv") ``` This fresh CSV can now be found in the root data folder. diff --git a/4-Classification/1-Introduction/solution/notebook.ipynb b/4-Classification/1-Introduction/solution/notebook.ipynb index c5b8c629..5abb9693 100644 --- a/4-Classification/1-Introduction/solution/notebook.ipynb +++ b/4-Classification/1-Introduction/solution/notebook.ipynb @@ -622,7 +622,7 @@ "metadata": {}, "outputs": [], "source": [ - "transformed_df.to_csv(\"../../data/cleaned_cuisine.csv\")" + "transformed_df.to_csv(\"../../data/cleaned_cuisines.csv\")" ] }, { diff --git a/4-Classification/1-Introduction/translations/README.tr.md b/4-Classification/1-Introduction/translations/README.tr.md index e4cc372a..fd0e2184 100644 --- a/4-Classification/1-Introduction/translations/README.tr.md +++ b/4-Classification/1-Introduction/translations/README.tr.md @@ -275,7 +275,7 @@ Veriyi temizlediniz, şimdi [SMOTE](https://imbalanced-learn.org/dev/references/ ```python transformed_df.head() transformed_df.info() - transformed_df.to_csv("../../data/cleaned_cuisine.csv") + transformed_df.to_csv("../../data/cleaned_cuisines.csv") ``` Bu yeni CSV şimdi kök data (veri) klasöründe görülebilir. diff --git a/4-Classification/1-Introduction/translations/README.zh-cn.md b/4-Classification/1-Introduction/translations/README.zh-cn.md index 2e258f3f..adef7c8a 100644 --- a/4-Classification/1-Introduction/translations/README.zh-cn.md +++ b/4-Classification/1-Introduction/translations/README.zh-cn.md @@ -269,7 +269,7 @@ Scikit-learn项目提供多种对数据进行分类的算法，你需要根据 ```python transformed_df.head() transformed_df.info() - transformed_df.to_csv("../data/cleaned_cuisine.csv") + transformed_df.to_csv("../data/cleaned_cuisines.csv") ``` 这个全新的CSV文件可以在数据根目录中被找到。 diff --git a/4-Classification/2-Classifiers-1/README.md b/4-Classification/2-Classifiers-1/README.md index 0db1aeba..c5588f1b 100644 --- a/4-Classification/2-Classifiers-1/README.md +++ b/4-Classification/2-Classifiers-1/README.md @@ -15,7 +15,7 @@ Assuming you completed [Lesson 1](../1-Introduction/README.md), make sure that a ```python import pandas as pd - cuisines_df = pd.read_csv("../../data/cleaned_cuisine.csv") + cuisines_df = pd.read_csv("../../data/cleaned_cuisines.csv") cuisines_df.head() ``` diff --git a/4-Classification/2-Classifiers-1/solution/notebook.ipynb b/4-Classification/2-Classifiers-1/solution/notebook.ipynb index a819dbe5..770ac85c 100644 --- a/4-Classification/2-Classifiers-1/solution/notebook.ipynb +++ b/4-Classification/2-Classifiers-1/solution/notebook.ipynb @@ -47,7 +47,7 @@ ], "source": [ "import pandas as pd\n", - "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisine.csv\")\n", + "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisines.csv\")\n", "cuisines_df.head()" ] }, diff --git a/4-Classification/3-Classifiers-2/README.md b/4-Classification/3-Classifiers-2/README.md index dd25926e..9720c763 100644 --- a/4-Classification/3-Classifiers-2/README.md +++ b/4-Classification/3-Classifiers-2/README.md @@ -6,7 +6,7 @@ In this second classification lesson, you will explore more ways to classify num ### Prerequisite -We assume that you have completed the previous lessons and have a cleaned dataset in your `data` folder called _cleaned_cuisine.csv_ in the root of this 4-lesson folder. +We assume that you have completed the previous lessons and have a cleaned dataset in your `data` folder called _cleaned_cuisines.csv_ in the root of this 4-lesson folder. ### Preparation diff --git a/4-Classification/3-Classifiers-2/notebook.ipynb b/4-Classification/3-Classifiers-2/notebook.ipynb index f4dec474..4659a7b6 100644 --- a/4-Classification/3-Classifiers-2/notebook.ipynb +++ b/4-Classification/3-Classifiers-2/notebook.ipynb @@ -47,7 +47,7 @@ ], "source": [ "import pandas as pd\n", - "cuisines_df = pd.read_csv(\"../data/cleaned_cuisine.csv\")\n", + "cuisines_df = pd.read_csv(\"../data/cleaned_cuisines.csv\")\n", "cuisines_df.head()" ] }, diff --git a/4-Classification/3-Classifiers-2/solution/notebook.ipynb b/4-Classification/3-Classifiers-2/solution/notebook.ipynb index d953c603..a089b21f 100644 --- a/4-Classification/3-Classifiers-2/solution/notebook.ipynb +++ b/4-Classification/3-Classifiers-2/solution/notebook.ipynb @@ -47,7 +47,7 @@ ], "source": [ "import pandas as pd\n", - "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisine.csv\")\n", + "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisines.csv\")\n", "cuisines_df.head()" ] }, diff --git a/4-Classification/4-Applied/README.md b/4-Classification/4-Applied/README.md index 773271a1..1f3573c2 100644 --- a/4-Classification/4-Applied/README.md +++ b/4-Classification/4-Applied/README.md @@ -40,7 +40,7 @@ First, train a classification model using the cleaned cuisines dataset we used. 1. Then, work with your data in the same way you did in previous lessons, by reading a CSV file using `read_csv()`: ```python - data = pd.read_csv('../data/cleaned_cuisine.csv') + data = pd.read_csv('../data/cleaned_cuisines.csv') data.head() ``` diff --git a/4-Classification/4-Applied/solution/notebook.ipynb b/4-Classification/4-Applied/solution/notebook.ipynb index 5ed9da52..b388d2ca 100644 --- a/4-Classification/4-Applied/solution/notebook.ipynb +++ b/4-Classification/4-Applied/solution/notebook.ipynb @@ -115,7 +115,7 @@ } ], "source": [ - "data = pd.read_csv('../../data/cleaned_cuisine.csv')\n", + "data = pd.read_csv('../../data/cleaned_cuisines.csv')\n", "data.head()" ] }, diff --git a/4-Classification/data/cleaned_cuisine.csv b/4-Classification/data/cleaned_cuisines.csv similarity index 100% rename from 4-Classification/data/cleaned_cuisine.csv rename to 4-Classification/data/cleaned_cuisines.csv