Python

Python

Decorators in Python – How to enhance functions without changing the code?

Decorators in python allow you to dynamically change the functionality of another function, without altering it’s code. What? Is that possible? Yes. This covers: 1. What is a decorator and how to create one? 2. Easier way to decorate functions 3. Class decorators 4. Problem with docstrings on decorated functions and how to solve. What …

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Python

Generators in Python – How to lazily return values only when needed and save memory?

Generators in python provide an efficient way of generating numbers or objects as and when needed, without having to store all the values in memory beforehand. Introduction You can think of Generators as a simple way of creating iterators without having to create a class with __iter__() and __next__() methods. So how to create a …

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Python

Object Oriented Programming (OOPS) in Python

Object oriented programming is an effective way of writing code. You create classes which are python objects, that represented meaningful entities which defines its own behaviour (via methods) and attributes. Let’s understand what a class is and the concepts behind Object Oriented Programming in Python Everything you have encountered so far in Python, such as …

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Numpy Feature Image

How to use Numpy Random Function in Python

How to use numpy.random.rand() function ? numpy.random.rand() function is used to generate random float values from an uniform distribution over [0,1). These values can be extracted as a single value or in arrays of any dimension. In this article, you will learn about various use cases of this function. Structural overview of numpy.random.rand() Syntax: numpy.random.rand(d0, …

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Partial Correlation

What is Partial Correlation and it’s purpose Partial correlation is used to find the correlation between two variables (typically a dependent and an independent variable) with the effect of other influencing variables being controlled. For example, if there are three variables ‘A’, ‘B’, ‘Z’, If you want to find the relationship between ‘A’ and ‘B’ …

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Chi Squared Test

Chi-Square test – How to test statistical significance for categorical data?

What is chi-square test and its purpose? Chi-square test was invented in the year ‘1900’ by the revered mathematician ‘Karl Pearson’. Chi-square test, also written as χ2 test is used to determine whether there is a statistically significant difference between the observed frequency and the expected frequency in one or more categories of the contingency …

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Pandas Describe

How to use Pandas Describe function? The pandas.describe function is used to get a descriptive statistics summary of a given dataframe. This includes mean, count, std deviation, percentiles, and min-max values of all the features. On applying pandas describe function to a dataframe, the result is also returned as a dataframe . This dataframe will …

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RegEx Replace values using Pandas

RegEx (Regular Expression) is a special sequence of characters used to form a search pattern using a specialized syntax While working on data manipulation, especially textual data, you need to manipulate specific string patterns. These may include retrieving hashtags from a tweet, extracting dates from a text, or removing website links. Pandas replace() function is …

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Pandas Histogram

Let’s understand how to create histogram in pandas and how it is useful. Histograms are very useful in statistical analysis. Histograms are generally used to represent the frequency distribution for a numeric array, split into small equal-sized bins. As we used pandas to work with tabular data, it’s important to know how to work with …

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Machine Learning A-Z™: Hands-On Python & R In Data Science

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Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science