data science code example

Example 1: datascience

- basic notion in algorithmic
2- basic notion in mathematical and statistical
3- know one or more programming languages from this list:
	-Python
    -C++
    -C#
    -Java
    -etc...
 
4- Knowing these libraries is the basis in the case of python:
 	a- Pandas
	b - Numpy
	c - Scikit Learn
	d - Matpolib
	e - Seaborn
	f -Statsmodels
	g - Keras
	h - NetworkX
	i - BeautifulSoup
	j - NLTK (Text_mining)
 
5- work, work and work to master all concepts around datascience

Example 2: python for data science

from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPRegressor

df=pd.read_csv('your_dataset')
X_train, X_test, y_train, y_test = train_test_split(feature,
                                                    target,
                                                    test_size=0.2,
                                                    random_state=4)
MLPRegressor.fit(X_trian,y_train)
y_predicted=MLPRegressor.predict(X_test)
# use r2 scores for regression or other measurements
r2_score(y_test,y_predicted)

Example 3: python for data science

#!/usr/bin/python

print "Hello, Python!"