LINEAR REGRESSION DIAGNOSTICS part 1.
EN301220191250 In [1]: from statsmodels.compat import lzip import numpy as np import matplotlib.pyplot as plt import statsmodels.api as sm from statsmodels.formula.api import ols import pandas as […]
Miesiąc: grudzień 2019
Proste wnioskowanie statystyczne — przykład zastosowania współczynnika korelacji Pearsona
301220190912 The Pearson coefficient is used to check the correlation between two continuous variables. Data source: https://www.kaggle.com/saurabh00007/diabetescsv In [1]: import pandas as pd df = pd.read_csv(’c:/1/diabetes.csv’) […]
Proste wnioskowanie statystyczne: przykład użycia współczynnika korelacji Pearsona
PL 301220190855 Współczynnik Pearsona używany jest do sprawdzenia korelacji między dwiema zmiennymi ciągłymi. źródło danych: https://www.kaggle.com/saurabh00007/diabetescsv In [1]: import pandas as pd df = pd.read_csv(’c:/1/diabetes.csv’) df.head(3) […]
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 […]
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) […]
Ćwiczenia z operacji matematycznych w 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 […]
Jak zapisywać wzory w matplotlib.pyplot
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 […]
Ćwiczenia z operacji macierzowych w 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 […]
Zabezpieczone: TENSORFLOW LINE CLASSIFICATOR (base example)
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TensorFlow — obliczanie R-kwadrat dla regresji liniowej
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 […]
Cz. 1. Poprawa modelu regresji liniowej za pomocą zmiennych syntetycznych
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 […]