Tensorflow
Machine Learning
from IPython.display import display
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from scipy import sparse
#pip install mglearn
#import mglearn
%matplotlib notebook
%matplotlib inline
import sys
print("Python version: {}".format(sys.version))
import pandas as pd
print("pandas version: {}".format(pd.__version__))
import matplotlib
print("matplotlib version: {}".format(matplotlib.__version__))
import numpy as np
print("NumPy version: {}".format(np.__version__))
import scipy as sp
print("SciPy version: {}".format(sp.__version__))
import IPython
print("IPython version: {}".format(IPython.__version__))
import sklearn
print("scikit-learn version: {}".format(sklearn.__version__))
Python version: 3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)]
pandas version: 0.24.2
matplotlib version: 3.0.3
NumPy version: 1.16.2
SciPy version: 1.2.1
IPython version: 7.4.0
scikit-learn version: 0.20.3
Leave a comment