Used libraries and functions as follows:
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Updated
Sep 8, 2022 - Jupyter Notebook
Used libraries and functions as follows:
Polynomials are mathematical objects which are expressions of variables and coefficients added to-gether. These polynomials can use operator overloading in a very intuitive manner since most of the operators that we can overload are mathematical operators, which can also be applied to polynomials.
Enhance XYZ shop's delivery efficiency by evaluating five delivery services using a comprehensive dashboard to gain insights to improve the selection of delivery service companies.
Animate Bivariate Normal Distribution using JAX and Matplotlib and making it interactive using ipywidgets.
PISA 2012 data visualisation. Univariate, bivariate and multivariate exploration.
I Learnt how to make regression for bivariate data in my Statistics class today, So I made a small program to do the same, it takes x and y arrays and outputs a linear equation with slope and constant.
Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot
Provides a demonstration of the Gaussian Mixture Model (GMM) for bivariate normal distribution along with a derivation of the E and M steps.
Compute a sample Pearson product-moment correlation distance.
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
Compute a sample Pearson product-moment correlation coefficient.
Compute a moving sample Pearson product-moment correlation distance incrementally.
Fast streaming univariate and bivariate moments and t-statistics
metaanalysis projects
Line Segmentation Based on Bi-variate Gauss Statistic and Distance Metric; and Handwritten Recognition
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