Machine Learning Tutorials from A to Z - part 1 ( Introduction )

Machine Learning from A to Z

Booom!! Welcome to the first tutorial of Machine Learning. To begin this tutorial be sure that you have basic concepts of Python programming language. You should have python in your computer. Else, learn how to install python.
Lets setup our lab for the Machine Learning, for this you should have to download Spyder IDLE.
Our first section is  Data Preprocessing which is the most important part for collecting data for further process. We should not miss out this section as it is the beginning of gather the data we work on.This includes:
                        1.Getting the Data Set
                        2.Importing Libraries
                        3.Importing Data Set       
                        4.Caring Missing Data         
                        5.Categorical Data
                        6.Data into training model     
                        7.Feature Scaling
                        8.Data preprocessing template 

Getting The Data Set
                           
                            Getting the dataset is one of the most important part in Machine Learning. You should have lots of data to process them further. For instance, you are going to travel a place and you prepare properly for the trip. It is equally important in machine learning to keep all stuffs ready so that there wont be any further problems. You can download data set from here.
1. Download Both machine learning and data preprocessing zip files from there.
2. Extract those zip files.
3. Create a new folder where you are going to work out.
4. Copy the extracted zip of Machine Learning into that folder.
5. Cut the extracted file of data preprocessing.
6. Open folder where you copied Machine Learning zip  and paste that file inside data preprocessing.

Now you have downloaded and moved your data set in appropriate zone and you have completed the first stage of getting the data set. Now move to part 2.