Python

How To Convert a String to Hex in Python

In this tutorial you will learn how to convert a string to hex in Python, and a hex to string in Python. String to Hex There exist different methods of converting a string into a hex in python. Hexadecimal values have a base of 16, and the prefix 0x is used to display any given …

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Exploratory Data Analysis with Python (Pandas & Matplotlib)

Data sets come in different states, shapes, and sizes.  When you gain access to a dataset for the first time, there is an element of mystery there.  Do all of the records have valid data?  Are there any unusual measurements?  How large is the dataset? There is some basic information it would be helpful to …

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7 Types of Python Operators: Easy Examples

Maybe you’ve finished a course on YouTube or Udemy about Python Programming, and you’ve learned some intermediate level concepts such as object-oriented programming and using functions. Most of these courses do not broach the Python Operators subject very well, but this tutorial will explain all of them one by one in-depth. 7 Categories of Python …

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PYPDF2 Library – Work with PDF Files in Python

PyPdf2 is a python library used to perform functions such as splitting, extracting content, cropping, and merging PDF files. PDF stands for portable document format, and it is one of the most widely used document formats. It uses .pdf extension. PyPDF2  is also very good for creating documents from scratch because it has a robust …

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The Difference Between Over-fitting and Under-fitting in Machine Learning Models using Scikit Learn in Python

In this tutorial we are going to learn about the difference between over-fitting and under-fitting in machine learning with the help of the Python Programming library ScikitLearn, also known as SkLearn. Understanding Undrfitting One important task in machine learning is constructing statistical models.  You would like to model the data as accurately as possible, but …

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Stock Market Prediction with Multivariate Time Series in Python using Keras

A time series is a sequence of data points collected over time. In many domains, there is always a need to deal with multivariate time series data, such as a network of sensors measuring weather conditions, or multiple financial indices reflecting global economics. Due to the nature of non-stationary and complicated correlation, it is a …

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