cfenollosa · Greg2828 · May 17, 2026
diff --git a/README.md b/README.md
@@ -1,31 +1,31 @@
-![logo_ironhack_blue 7](https://user-images.githubusercontent.com/23629340/40541063-a07a0a8a-601a-11e8-91b5-2f13e4e6b441.png)
-
-# Natural Language Processing Challenge
-
-## Introduction
-
-Learning how to process text is a skill required for Data Scientists. 
-In this project, you will put these skills into practice to identify whether a news headline is real or fake news.
-
-## Project Overview
-
-In the file `dataset/training_data.csv` you will find dataset containing news headlines and their tags: 
-0, if the headline is fake news, and, 1, if the headline is real news. 
-
-Your goal is to build a classifier that is able to distinguish between the two.
-
-Once you have a classifier built, then use it to predict the labels for `dataset/testing_data.csv`. Generate a new file
-where the label `2` has been replaced by `0` (fake) or `1` (real) according to your model. Please respect the original file format, 
-do not include extra columns, and respect the column separator. 
-
-
-## Guidance
-Like in a real life scenario, you are able to make your own choices and text treatment. 
-Use the techniques you have learned and the common packages to process this data and classify the text.
-
-## Deliverables
-
-1. **Python Code:** Provide well-documented Python code that conducts the analysis.
-2. **Predictions:** A csv file in the same format as `testing_data.csv` but with the predicted labels (0 or 1)
-3. **Accuracy estimation:** Provide the teacher with your estimation of how your model will perform.
-4. **Presentation:** You will present your model in a 10-minute presentation. Your teacher will provide further instructions.
+![logo_ironhack_blue 7](https://user-images.githubusercontent.com/23629340/40541063-a07a0a8a-601a-11e8-91b5-2f13e4e6b441.png)
+
+# Natural Language Processing Challenge
+
+## Introduction
+
+Learning how to process text is a skill required for Data Scientists. 
+In this project, you will put these skills into practice to identify whether a news headline is real or fake news.
+
+## Project Overview
+
+In the file `dataset/training_data.csv` you will find dataset containing news headlines and their tags: 
+0, if the headline is fake news, and, 1, if the headline is real news. 
+
+Your goal is to build a classifier that is able to distinguish between the two.
+
+Once you have a classifier built, then use it to predict the labels for `dataset/testing_data.csv`. Generate a new file
+where the label `2` has been replaced by `0` (fake) or `1` (real) according to your model. Please respect the original file format, 
+do not include extra columns, and respect the column separator. 
+
+
+## Guidance
+Like in a real life scenario, you are able to make your own choices and text treatment. 
+Use the techniques you have learned and the common packages to process this data and classify the text.
+
+## Deliverables
+
+1. **Python Code:** Provide well-documented Python code that conducts the analysis.
+2. **Predictions:** A csv file in the same format as `testing_data.csv` but with the predicted labels (0 or 1)
+3. **Accuracy estimation:** Provide the teacher with your estimation of how your model will perform.
+4. **Presentation:** You will present your model in a 10-minute presentation. Your teacher will provide further instructions.
diff --git a/dataset/testing_data.csv b/dataset/testing_data.csv
diff --git a/dataset/training_data.csv b/dataset/training_data.csv
diff --git a/finalNotebook_with_ELECTRA(1)(1).ipynb b/finalNotebook_with_ELECTRA(1)(1).ipynb
diff --git a/outputs_predictions_electra_correct_format(2).csv b/outputs_predictions_electra_correct_format(2).csv
diff --git a/presentationPowerPoint_updated_ELECTRA(1).pptx b/presentationPowerPoint_updated_ELECTRA(1).pptx
diff --git a/project_3_nlp_complete_study_notebook.ipynb b/project_3_nlp_complete_study_notebook.ipynb