Machine Learning Session 1

Finally lets talk about machine learning Machine learning: Using Data to Answer Question the above phrase can be split into two parts: Using Data --> Training Answer Question --> Prediction

7 Steps of Machine Learning

1- Data Gathering

2- Data Preparation

Put all data together and remove not useful data like duplicated data

Randomize the order

Split the data between training and evaluation set (80%-20%)

3- Model Selection

4- Training

   it is like a student learning how to drive a car
   for the case of simple classification, it is the matter of
   finding proper m & b for building the straight line of 
   y=m*x+b
   As a part of the training process, we choose some random numbers
   for weight and bias and make prediction and compare with actual 
   results, until satisfactory performance is achieved

5- Evaluation

   Evaluation of the model performance against the data set that
   has never been seen

6- Parameter Tuning (Hyper parameters)

7- Prediction