Preparing Machine Learning developing environment

1. Installing pycharm

Download and install pycharm from https://www.jetbrains.com/pycharm/download/#section=linux

2. Installing PIP

PIP is an easy installer for python packages

$ sudo apt-get install python-pip python-dev build-essential 
$ sudo pip install --upgrade pip 
$ sudo pip install --upgrade virtualenv 

3. Installing required python packages

$ pip install numpy

$ pip install scipy

$ pip install scikit-learn

4. Setting up pycharm 

1. Go to pycharm downloaded folder and extract pycharm-{}.tar.gz file   into a preferred location.

2. Execute pycharm.sh file

3. Click File -> New Project and create a project providing project 
   name

4. Right click on your project -> new -> python file and create new 
   python file providing file name

5. Add following import lines to your python file

HelloWorld.py

import csv





import numpy



import scipy


from sklearn import preprocessing

from sklearn import neighbors

from sklearn.cross_validation import train_test_split

from sklearn import metrics

from sklearn.naive_bayes import GaussianNB

from sklearn import cross_validation

from sklearn.grid_search import GridSearchCV





Note: If you are getting any import error click 

File -> Default Settings -> Project Interpreter
Select python 2.7.x version
Click Apply -> Ok




Happy coding...!!!!