From 29774c4321205f6ec71966c245c720f6913ddb70 Mon Sep 17 00:00:00 2001
From: bezzazi abir <abir.bezzazi.etu@univ-lille.fr>
Date: Mon, 22 Aug 2022 15:39:33 +0200
Subject: [PATCH] added images

---
 wiki/MachineLearning/Support-Vector-Machines.md | 17 +++++++----------
 1 file changed, 7 insertions(+), 10 deletions(-)

diff --git a/wiki/MachineLearning/Support-Vector-Machines.md b/wiki/MachineLearning/Support-Vector-Machines.md
index 64f4324..dfa2ed1 100644
--- a/wiki/MachineLearning/Support-Vector-Machines.md
+++ b/wiki/MachineLearning/Support-Vector-Machines.md
@@ -3,12 +3,8 @@
     
     - Intro to the subject (SVM, soft margin, hard margin)
     - How to use it
-    - Example using csv file and Dataframe
-    - Point on: 
-      - Parallel branch about unfinished work
-        - Unfinished work for Hard Margin QP
-        - Unfinished work for Hard Margin SGD (link to the japanese github repo code example)
-      - 
+    - Example using csv file and Dataframe (cancer, iris, ...)
+
 -->
 
 Repository: https://github.com/pharo-ai/Support-Vector-Machines
@@ -27,7 +23,11 @@ Depending on the dataset and how we want to classify it there are three approach
 ## Soft Margin
 
 
-## Example
+## Example (maybe remove title)
+
+For example:
+
+Given 20 input vectors 
 
 <p align="center">
 <img src="./img/1.png " height="350" /> 
@@ -35,6 +35,3 @@ Depending on the dataset and how we want to classify it there are three approach
 <img src="./img/3.png " height="350" />
 </p>
 
-
-## Note (move to readme with src code)
-