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Join date: Aug 21, 2021
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Posts (11)
May 6, 2022 ∙ 3 min
Co-Variance Matrix in detail
Why is it important? Covariance: There is a strong relationship between Covariance and correlation The concept of variance: s^2 is a...
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May 6, 2022 ∙ 3 min
Unsupervised Learning: Mixture Models
There are two types of clustering: Hard clustering methods where clusters do not overlap, the data point either belongs to a cluster or...
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Mar 8, 2022 ∙ 3 min
Simplifying the concept of Probability distribution functions
Cumulative distribution function CDF 1. Probability mass function – discrete variables PMF 2. Probability density function –...
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Mar 2, 2022 ∙ 2 min
“A picture is worth a thousand words” part 2
Part2: An example for visualization using seaborn here We are going to simplify the example from Data visualization in Python using...
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Mar 2, 2022 ∙ 2 min
“A picture is worth a thousand words”
Data visualization in python Visualizing data is very important, it helps in discovering patterns and characteristics behavior over time...
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Feb 28, 2022 ∙ 4 min
Some Pandas Techniques
Pandas is a python library used for data analysis, it is built on top of matplotlib and numpy for data visualization and mathematical...
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Oct 17, 2021 ∙ 4 min
Insights from Office Series data
The office, a Mockumentary American television series that depicts the everyday work lives of office employees in the Scranton,...
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Oct 6, 2021 ∙ 1 min
Python Concepts: pickling and unpickling
Pickling is the process of serializing an object hierarchy into a byte stream. Unlike JSON or XDR and other formats, pickling is Python's...
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Oct 6, 2021 ∙ 2 min
Python Concepts: args & kwargs
Python concepts; *args & **kwargs
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Sep 22, 2021 ∙ 1 min
Fahrenheit to Celsius, a simple converter
We start with writing the general theory - the rule of conversion: Celsius = (Fahrenheit- 32) * 5/9 image recourse:...
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