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Map() in Python | Python for Data Science | Day 13

Welcome to our tutorial on Map() in Python. This article will cover various instances to demonstrate how map() in Python […]

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⏱️ 4 min read
👁️ 2,451 views
Python concepts
Python Uncategorized

Type() and isinstance() in Python | Python for Data Science | Day 15

Hello, Team Python!The Data Monk is back with wholesome content on Type() and isinstance() in Python in Python.We will discuss […]

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⏱️ 5 min read
👁️ 2,908 views
Python concepts
Python Uncategorized

Range() in Python | Python for Data Science | Day 16

We hope you are putting your time to a productive The Data Monk is back with a new tutorial for […]

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⏱️ 3 min read
👁️ 4,228 views
Python concepts
Machine Learning Python

Installing XGBoost and pandas_profiling in MacOS

IInstalling xgboost and pandas_profiling in MacOSWhy are we writing this article to install a simple library?It’s because there is a […]

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⏱️ 4 min read
👁️ 1,151 views
Pandas XGBoost
Python Uncategorized

Python Quiz 3 | Daily Quiz 3

Python Quiz for Data Science Try the following quiz, it has 10 fairly simple questions on minute Python concepts.Comment your […]

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⏱️ 3 min read
👁️ 1,113 views
Python Basics
Most Important Topics Python

Regular Expression in Python

Regular Expression in PythonWe will start with Regular Expressions. RegEx is a way of creating a rule to filter what […]

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⏱️ 3 min read
👁️ 3,338 views
Regular Expression in Python
Python Uncategorized

Python Basics

We know that you already know a lot about Python and it’s capability in the Data Science domain. I have […]

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⏱️ 3 min read
👁️ 3,940 views
Python Basics
Python Uncategorized

Python – Conditional Statements

One of the most important thing which you need to learn in Python is the use of conditional statement. These […]

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⏱️ 3 min read
👁️ 1,600 views
Python Basics
Python

Visualization in Python

Piyush was here, I was ready with my cup of tea. I always used to worry about visualizations. For me, […]

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⏱️ 6 min read
👁️ 3,501 views
Python Uncategorized

Label Encoder and One Hot Encoding

In our datasets we can have any sort of data, we can have numbers, categories, texts, or literally anything. If […]

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⏱️ 2 min read
👁️ 2,595 views
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