### Exercises on mathematical operations in TensorFlow 1.4

EN121220190807 Practice makes perfect In [1]: import pandas as pd import tensorflow as tf import matplotlib.pyplot as plt Exercise 1: Perform the following equation on the […]

EN121220190807 Practice makes perfect In [1]: import pandas as pd import tensorflow as tf import matplotlib.pyplot as plt Exercise 1: Perform the following equation on the […]

EN111220192126 Exercises on matrix operations in TensorFlow 1.4 Practice makes perfect In [1]: import pandas as pd import tensorflow as tf import matplotlib.pyplot as plt Exercise […]

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Parking Birmingham occupancy Source of data: https://archive.ics.uci.edu/ml/datasets/Parking+Birmingham In [35]: import pandas as pd df = pd.read_csv(‘c:/TF/ParkingBirmingham.csv’) df.head(3) Out[35]: SystemCodeNumber Capacity Occupancy LastUpdated 0 BHMBCCMKT01 577 61 […]

We continue to learn how to build multiple linear regression models. This time we will build a model using the Tensorflow library. As before, the […]

Part 1. Preliminary data preparation AirQualityUCI Source of data: https://archive.ics.uci.edu/ml/datasets/Air+Quality In [1]: import pandas as pd df = pd.read_csv(‘c:/TS/AirQualityUCI.csv’, sep=’;’) df.head(3) Out[1]: Date […]

Part 2. Simple multifactorial linear regression In the previous part of this tutorial, we cleaned the data file from the measuring station. A new, completed […]

Part one: Numpy method In [1]: import pandas as pd import tensorflow as tf import itertools Source of data: https://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant Combined Cycle Power […]

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