M data-analysis.ipynb → data-analysis.ipynb

@@ -99,7 +99,7 @@ "## Step 1: loading and cleaning our data\n",
     "The dataset comes from [Kaggle](https://www.kaggle.com/datasets/meirnizri/covid19-dataset). Here's the provided description:\n",
     "\n",
     ">Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.\n",
-    "During the entire course of the pandemic, one of the main problems that healthcare providers have faced is the shortage of medical resources and a proper plan to efficiently distribute them. In these tough times, being able to predict what kind of resource an individual might require at the time of being tested positive or even before that will be of immense help to the authorities as they would be able to procure and arrange for the resources necessary to save the life of that patient.\n",
+    ">During the entire course of the pandemic, one of the main problems that healthcare providers have faced is the shortage of medical resources and a proper plan to efficiently distribute them. In these tough times, being able to predict what kind of resource an individual might require at the time of being tested positive or even before that will be of immense help to the authorities as they would be able to procure and arrange for the resources necessary to save the life of that patient.\n",
     "\n",
     ">The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.\n",
     "\n",
@@ -111,7 +111,7 @@ "| sex | female or male |\n",
     "| age | age of the patient |\n",
     "| classification | covid test findings |\n",
     "| patient type | hospitalized or not hospitalized |\n",
-    "| pneumonia | whether the patient already have air sacs inflammation or not |\n",
+    "| pneumonia | whether the patient already has air sacs inflammation or not |\n",
     "| pregnancy | whether the patient is pregnant or not |\n",
     "| diabetes | whether the patient has diabetes or not |\n",
     "| copd | whether the patient has Chronic obstructive pulmonary disease or not |\n",