### Przykład klasyfikacji wykonanej za pomocą regresji logistycznej. Eliminacja współliniowości zmiennych niezależnych za pomocą VIF

January 14, 2020

PL140120202018 Rozważania teoretyczne na temat znaczenia (szkodliwości) wspołiniowości zmiennych niezależnych (multicollinearity) zostały wyjaśnione w poprzedniej części. Problem występowania współliniowości zmiennych niezależnych w regresji logistycznej. Przykład […]

### Exercises on mathematical operations in TensorFlow 1.4

December 12, 2019

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 […]

### How to write equations in matplotlib.pyplot

December 11, 2019

How to write equations in matplotlib.pyplot¶ Practice makes perfect In [4]: import pandas as pd import matplotlib.pyplot as plt In [5]: a = r’3 = frac{12}{4}’ ax […]

### Protected: Tensorflow – LINEAR REGRESSION (base example)

December 11, 2019

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### Tensorflow vs. Sklearn – Comparison of linear classifiers [B2/1]

December 11, 2019

[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 […]

### Polynomial regression model

December 2, 2019

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 […]

### Perfect Plots: Matrix of corelation

November 28, 2019

Source of data: https://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant Combined Cycle Power Plant Data Set Data Set Information: The dataset contains 9568 data points collected from a Combined Cycle Power […]

### Tutorial: Linear Regression – Tensorflow, calculation of R Square (#4/281120191525)

November 28, 2019

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 – Sklearn regression model (#3/281120191333)

November 28, 2019

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 – Time variables and shifts. Use of offset in variable correlation (#2/271120191334)

November 27, 2019

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 […]