Music_RecommenderML

This is a Basic ML model using Decision Trees and its visual representation using small data set
Made this as a beginner in ML and increase my understanding of basic concepts

Key Concepts I learned from this Project

## Steps---> Clean-> Select Model-> Split Data-> Create Model-> Train-> Test-> Check Accuracy-> Fine Tune Parameters.
-Looking for data inconsistency using pd.describe
-Making a model load-able using joblib
-Creating a algo working plot using graphviz