Update README.md

Author: ElizaLo

Spam Detection/README.md

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 # Spam Detection
 
+Comparison and analysis of several algorithms on the problem of detecting spam in messages. The analysis of the data set is carried out. 
+
 - [SMS Spam Collection Dataset](https://github.com/ElizaLo/ML-with-Jupiter/blob/master/Spam%20Detection/spam.csv)
 - The files contain one message per line. Each line is composed by two columns: v1 contains the label (**_ham or spam_**) and v2 contains the raw text. 
 
+**Realised methods:**
+- Naive Bayes spam filtering
+- K-Nearest Neighbors algorithm
+- Decision Tree learning
+- Support Vector Machine (SVM)
+- Random Forest
+
  ## **Methods**
 
  1. ## **Naive Bayes spam filtering**