What is the output of the above code? Comment your answer. Join #epythonlab Https://t.me/epythonlab

Object oriented Programming is an important concept that must be known by all computer coders. https://www.youtube.com/watch?v=I7z6i1QTdsw

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What is Pandas?

Pandas is an open source library, providing high-performance, easy-to-use data structures and data analysis tools for Python.

The DataFrame is one of Pandas' most important data structures. It's basically a way to store tabular data where you can label the rows and the columns. One way to build a DataFrame is from a dictionary and also importing from CSV(comma-separated value).

Here are the most common pandas functions for data analysis https://youtu.be/8a3Y-HT09sQ
#KeyNote #Pandas #DataFrame #DataScience

In Pandas, how do you select a single column from a DataFrame? Comment your answer ✅

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Creating and parsing XML documents in Python is a valuable skill for managing and exchanging structured data. In this tutorial, I'll cover the basics of creating XML documents and parsing them using Python's built-in XML module.

https://www.youtube.com/watch?v=WnbS90EzU0Y

If you are facing challenges of parsing and transforming nested XML document into a user friendly pandas DataFrame, this tutorial is for you. Please 🙏 Like, Share and comment any words you feel about this tutorial. Thanks for your support.

https://youtu.be/WQ-OhoXmHU8

Creating and parsing XML documents in Python is a valuable skill for managing and exchanging structured data. In this tutorial, I'll cover the basics of creating XML documents and parsing them using Python's built-in XML module.

https://www.youtube.com/watch?v=WnbS90EzU0Y

I'm curious🤭 about statistics Vs Probability
Here, I have made some tutorials about probability distribution for Machine learning using Scipy Python library https://www.youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI

Mojo Programming Language - Full Course for Beginners
https://youtu.be/pyfCTxKcDPY

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By transforming our DataFrame into XML, we ensure that our data remains structured and readable across different platforms and applications.

Step by step guide: https://youtu.be/wNKKrt885xY

Join my channel as a member https://www.youtube.com/channel/UCsFz0IGS9qFcwrh7a91juPg/join

Thanks for joining

In this topic modeling project-based tutorial, I have gone through the following steps:

1. Loads the documents(Generating sample documents)
2. Preprocesses the text by removing stop words and stemming words.
3. Creates a TF-IDF vector representation of the documents.
4. Performs LDA topic modeling with the specified number of topics.
5. Extracts the document-topic weight matrix.
6. Prepares the data for CSV format, including document IDs and topic weights.
7. Saves the results to the specified CSV file. https://youtu.be/uJCB2hRCB60

As a programmer, you must know the concept of object oriented programming. Here you go https://www.youtube.com/watch?v=I7z6i1QTdsw

Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

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Machine Learning Project

Bag of words: A technique used to extract features from the text. It counts how many times a word appears in a document (corpus), and then transforms that information into a dataset.
https://youtu.be/tn-Tvi8CHmg

INTRODUCTION TO PROBABILITY DISTRIBUTION FOR MACHINE LEARNING WITH PYTHON

1. What is a random variable?
👉🏿 https://youtu.be/TkFipAuH-rY

2. Types of a random variable
👉🏿 https://youtu.be/jBYsKZOxR6k

3. Calculating probability using probability mass function
👉🏿 https://youtu.be/ceSvPxY_uAk

4. Calculating probability over a range
👉🏿 https://youtu.be/_WF9X4RyARA

5. Calculating Probability using the cumulative distribution function
👉🏿 https://youtu.be/tfoGiPlwiys

6. Calculating probability of continuous variable using density function and cumulative distribution function
   👉🏿 https://www.youtube.com/watch?v=ikete4WQaj0

Mathematics for Machine Learning RoadMap

🔗 Link to Linear Regression https://bit.ly/46rqiBu
🔗 Link to Linear Algebra https://bit.ly/45EpfwB
🔗 Link to Probability Distribution https://bit.ly/495L8b5
🔗 Link to Telegram Group https://bit.ly/3IR1lnm

What's new in Python 3.13
https://www.youtube.com/watch?v=AbmmY0VMc3k

Top Python Modules
Tips of Python Programming: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYFd1_d6ycD5Uc-AV4dyQa53

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Python Programming for beginners Roadmap

Basic Python Programming: https://youtu.be/ISv6XIl1hn0

Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

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