some spaces

Author: MohamedhanySakr

Kaggle Heart-disease Classifictaion in 7 steps/README.md

@@ -7,19 +7,19 @@ The outcome heart_disease takes on either a 1 (heart disease is present) or 0 (n
 This variable is actually recoded from a variable that spanned 0 to 4, but we're going to focus on this recoding of 0/1.
 Features
 ## The features
-1.age
-2.sex
-3.chest_pain: type of chest pain
-4.resting_bp: resting blood pressure
-5.cholestoral: serum cholestoral in mg/dl
-6.high_sugar: an indicator for whether fasting blood sugar > 120 mg/dl (1 = true; 0 = false)
-7.ecg: resting electrocardiographic results
-8.max_rate: maximum heart rate achieved
-9.exercise_angina: exercise induced angina (1 = yes; 0 = no)
-10.st_depression: ST depression induced by exercise relative to rest
-11.slope: the slope of the peak exercise ST segment
-12.vessels: number of major vessels (0–3) colored by flourosopy
-13.thalium_scan: thalium heart scan
+1. age
+2. sex
+3. chest_pain: type of chest pain
+4. resting_bp: resting blood pressure
+5. cholestoral: serum cholestoral in mg/dl
+6. high_sugar: an indicator for whether fasting blood sugar > 120 mg/dl (1 = true; 0 = false)
+7. ecg: resting electrocardiographic results
+8. max_rate: maximum heart rate achieved
+9. exercise_angina: exercise induced angina (1 = yes; 0 = no)
+10. st_depression: ST depression induced by exercise relative to rest
+11. slope: the slope of the peak exercise ST segment
+12. vessels: number of major vessels (0–3) colored by flourosopy
+13. thalium_scan: thalium heart scan
 
 You can choose any Classification algorithm you want i chose Logistic Regression
 I am trying to facilitate the steps of solving the problem to be easy and clear for you so i divide the problem into 7 Simple steps