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Machine Learning Cross-Validation

There are various pipelines for the machine learning use cases: Data collection, Feature engineering, Feature selection, Model creation, and Model deployment. So always remember before model creation what we do is whenever we have a dataset (suppose I have 1000 records) we usually perform a train... [Read More]

String Methods

List of String Methods mentioned in this post | | | | | | | - | - | - | - | - | | 1. [capitalize()](#capitalize) | 2. [casefold()](#casefold) | 3. [center()](#center) | 4. [count()](#count) | 5. [encode()](#encode) | | 6. [endswith()](#endswith)| 7. [expandtabs()](#expandtabs) |... [Read More]

String Formatting

Here is the list of complete set of symbols which can be used along with “%” %c character &gt;&gt;&gt; print ("%c" %'h') h &gt;&gt;&gt; print ("%c" %104) h <span... [Read More]

Python Strings : Part1 - Overview and String Operators

!!! Hi There ! Welcome to share2learn !!! This blog is all about to have fun with String,Text processing in python Lets divide this String tutorial into 3 parts Part 1 - Strings Overview &amp; String Operators Part 2 - String Formatting Part 3 - Strings... [Read More]

Normalisation and Standardisation

Suppose if you have any use case, so the most important thing for the use case is data. Initially, you will be collecting the data so if you have collected the data that data have many features so those features may contain independent feature and dependent feature so with the... [Read More]