Added Recommendation Engine from scratch and updated Readme (#65)

* Updated with an Example and Definations: * Example Scikit * Updated * Done with Code of Decidion Tree * Done with Code of Decidion Tree * Another done * Done with another * Done with another * Done with another * Done with Decision Tree with Readme * Update README.md Added Readme file * Added Recommendation Engines from Scratch & Updated Readme * New Initialized * Dataset added * Added Readme
aribis369 · Jan 3, 2018 · 4026931 · 4026931
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@@ -100,3 +100,16 @@ Recurrent Neural Networks allow information to persist, solving one major drawba
 LSTMs are designed specially to avoid the long-term dependency problem.
 Remembering information for long periods of time is fortunately their default behavior, and not something they struggle to learn.
 A stock preditor using LSTM is implemented here. 
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+
+### 17.Decision Tree Classifiers 
+Understanding and Implementation of Decision Tree from Scratch with different types of examples.
+Examples like Rain Predictor Decision Tree and Effective ways to visualize data .
+Go to the folder and Enjoy Learnig :
+ - https://github.com/Lightning-Bug/ML-Starter-Pack/tree/master/Decision%20Tree%20Classifier
+
+### 18.Recommendation Engines 
+Ever wondered, “what algorithm **Google** uses to maximize its target ads revenue?”. What about the Giant e-commerce websites like **Amazon** which advocates you through options such as ‘people who bought this also bought this’?
+The answer is Recommendation Engines.
+Go to the folder and Explore them from Scratch :
+ - https://github.com/Lightning-Bug/ML-Starter-Pack/tree/master/Recommedation%20Engines