Machine Learning Intro Tensorflow & scikit-learn

Files in this repository demonstrates a basic Machine Learning examples using scikit-learn and Tensorflow Library

Files & Features

• DecisionTree - decisiontree.py

• Supervised Learning by making use of Decision Tree Classifier and its fit algorithm to predict whether the given features belong to Apple or Orange

• Avoid using unnecessary feature - goodfeature.py

• Unnecessary features such as corelated features must be avoided because it hurts the accuracy of the algorithm

• Learning is to adjust the parameters of the model using training data pipeline.py

• Using the straight line equation we adjust the parameter slope and y intercept to adjust the model using training data.