Update README.md

Update README.md in active voice

README.md

@@ -4,30 +4,26 @@ This repository contains code and associated files for deploying a plagiarism de
 
 ## Project Overview
 
-In this project, you will be tasked with building a plagiarism detector that examines a text file and performs binary classification; labeling that file as either *plagiarized* or *not*, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences between paraphrased answers and original work are often not so obvious.
+In this project, we built a plagiarism detector that examines a text file and performs binary classification; labeling that file as either *plagiarized* or *not*, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences between paraphrased answers and original work are often not so obvious.
 
-This project will be broken down into three main notebooks:
+This project is broken down into three main notebooks:
 
 **Notebook 1: Data Exploration**
 * Load in the corpus of plagiarism text data.
 * Explore the existing data features and the data distribution.
-* This first notebook is **not** required in your final project submission.
 
 **Notebook 2: Feature Engineering**
-
 * Clean and pre-process the text data.
 * Define features for comparing the similarity of an answer text and a source text, and extract similarity features.
 * Select "good" features, by analyzing the correlations between different features.
 * Create train/test `.csv` files that hold the relevant features and class labels for train/test data points.
 
 **Notebook 3: Train and Deploy Your Model in SageMaker**
-
 * Upload your train/test feature data to S3.
 * Define a binary classification model and a training script.
 * Train your model and deploy it using SageMaker.
 * Evaluate your deployed classifier.
 
 ---
 
-Please see the [README](https://github.com/udacity/ML_SageMaker_Studies/tree/master/README.md) in the root directory for instructions on setting up a SageMaker notebook and downloading the project files (as well as the other notebooks).
-
+Please see the [README](https://github.com/udacity/ML_SageMaker_Studies/tree/master/README.md) in the root directory for instructions on setting up a SageMaker.