Data standardization – Tensorflow linear regression model
EN231220191405 Theoretical explanation The standardization of data for machine learning models involves the transformation of primary data so that their distribution has an average value […]
Wojciech Moszczyński
Zabezpieczone: Tensorflow Machine Learning: Gaussian Kernel (base example)
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Tensorflow linear classifier – example 1
EN201220191421 Source of data: poliaxid In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.read_csv(’c:/2/poliaxid.csv’, index_col=0) del df[’nr.’] df.head(5) […]
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 […]
Exercises on matrix operations in TensorFlow 1.4
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 […]
Zabezpieczone: Tensorflow – LINEAR REGRESSION (base example)
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Tensorflow vs. Sklearn – Comparison of linear classifiers [B2/1]
[B2/1] How to survive on the Titanic? Long time I was thinking, that this sample is a something as any railway statistic or other theoretical […]
Tensorflow – Calculation of R square for linear regression
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 […]
Improving the linear regression model using synthetic variables Part. 1
EN031220191208 Parking Birmingham occupancy analysis Source of data: https://archive.ics.uci.edu/ml/datasets/Parking+Birmingham In [1]: import pandas as pd df = pd.read_csv(’c:/TF/ParkingBirmingham.csv’) df.head(3) Out[1]: SystemCodeNumber Capacity Occupancy LastUpdated […]
Polynomial regression model
Polynomial regression model Polynomial regression model is technically a special case of multiple linear regression. This is definitions and explanation found in Wikipedia: https://en.wikipedia.org/wiki/Polynomial_regression. Just […]
Tutorial: Linear Regression – Sklearn regression model (#3/281120191333)
In the previous part, we tried to build a model by trying to explain the level of carbon monoxide pollution based on temperature and pressure. […]
Tutorial: Linear Regression – Tensorflow, calculation of R Square (#4/281120191525)
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 […]
Tutorial: Linear Regression – preliminary data preparation (#1/271120191024)
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 […]
Tutorial: Linear Regression – Time variables and shifts. Use of offset in variable correlation (#2/271120191334)
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 […]
Linear regression with TensorFlow
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 […]