Channel: Epython Lab
How to get started with Python programming from scratch - Beginners Guide https://www.youtube.com/watch?v=4IBGze0CYkk
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How to create xml documents using python https://www.youtube.com/watch?v=OtFqjpEEk_s&t=322s
YouTube
Creating XML Documents in Python
Hello everyone, and welcome to today's tutorial on creating XML documents in Python. I'm excited to guide you through this beginner's guide to generating XML structures programmatically using Python. Let's dive in!
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Decorators in Python is used to ->
-> improve code readability
-> reduce code duplication
-> increase flexibility
Here you can learn how to implement decorators in Python step-by-step: https://www.youtube.com/watch?v=xpNt5qfgK38&list=PL0nX4ZoMtjYFwa6WIlGqs8g3EBTYt1k7y&index=8
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-> improve code readability
-> reduce code duplication
-> increase flexibility
Here you can learn how to implement decorators in Python step-by-step: https://www.youtube.com/watch?v=xpNt5qfgK38&list=PL0nX4ZoMtjYFwa6WIlGqs8g3EBTYt1k7y&index=8
👉Join Telegram https://hottg.com/epythonlab/
Learn #python with #epythonlab
YouTube
Decorators in Python Tutorial
Hello and welcome to @epythonlab . In this tutorial, you will learn about decorators in Python.
Decorators are a powerful and versatile tool in Python that allows you to modify the behavior of functions and classes without having to modify their source code.…
Decorators are a powerful and versatile tool in Python that allows you to modify the behavior of functions and classes without having to modify their source code.…
Build your own Deep Learning Model with tensorflow and keras using Google Colab notebook https://www.youtube.com/watch?v=anyJVt5XzfE&list=PL0nX4ZoMtjYEhYVeSJkp2QhW658V0-R4e&index=3
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Build your own Deep Learning Model with tensorflow and keras using Google Colab notebook https://www.youtube.com/watch?v=anyJVt5XzfE&list=PL0nX4ZoMtjYEhYVeSJkp2QhW658V0-R4e&index=3
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Project Idea: Building a spam classifier
Introduction
Spam detection is one of the major applications of Machine Learning in the interwebs today. Pretty much all of the major email service providers have spam detection systems built in and automatically classify such mail as 'Junk Mail'.
In this mission we will be using the Naive Bayes algorithm to create a model that can classify dataset SMS messages as spam or not spam, based on the training we give to the model. It is important to have some level of intuition as to what a spammy text message might look like.
What are spammy messages?
Usually they have words like 'free', 'win', 'winner', 'cash', 'prize', or similar words in them, as these texts are designed to catch your eye and tempt you to open them. Also, spam messages tend to have words written in all capitals and also tend to use a lot of exclamation marks. To the recipient, it is usually pretty straightforward to identify a spam text and our objective here is to train a model to do that for us!
Being able to identify spam messages is a binary classification problem as messages are classified as either 'Spam' or 'Not Spam' and nothing else. Also, this is a supervised learning problem, as we know what are trying to predict. We will be feeding a labelled dataset into the model, that it can learn from, to make future predictions. https://youtu.be/XdxaTc02FYA?si=XUFi1gsjRRmasRwj
Introduction
Spam detection is one of the major applications of Machine Learning in the interwebs today. Pretty much all of the major email service providers have spam detection systems built in and automatically classify such mail as 'Junk Mail'.
In this mission we will be using the Naive Bayes algorithm to create a model that can classify dataset SMS messages as spam or not spam, based on the training we give to the model. It is important to have some level of intuition as to what a spammy text message might look like.
What are spammy messages?
Usually they have words like 'free', 'win', 'winner', 'cash', 'prize', or similar words in them, as these texts are designed to catch your eye and tempt you to open them. Also, spam messages tend to have words written in all capitals and also tend to use a lot of exclamation marks. To the recipient, it is usually pretty straightforward to identify a spam text and our objective here is to train a model to do that for us!
Being able to identify spam messages is a binary classification problem as messages are classified as either 'Spam' or 'Not Spam' and nothing else. Also, this is a supervised learning problem, as we know what are trying to predict. We will be feeding a labelled dataset into the model, that it can learn from, to make future predictions. https://youtu.be/XdxaTc02FYA?si=XUFi1gsjRRmasRwj
YouTube
Spam Email Classifier Machine Learning Project
Learn how to use simple algorithms like Naive Bayes or Logistic Regression to build a model that can identify spam emails. In this tutorial, you will learn using a simple example of building a spam email classifier using Python, the scikit-learn library,…
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This is a Python for data science, machine learning or Artificial Intelligence tutorial for beginners. In this tutorial you will have a solid understanding of the following basic Python topics:
Chapters:
0:00 Introduction to Python programming - Python basics
35:33 Data object types and Type conversion
48:17 Operators and Expressions
1:14:15 Exception Handling
1:34:36 String Methods for Manipulating String Data
2:13:25 Functions
2:28:38 Function Scope
2:38:38 Function Arguments
2:47:54 Conditional Statements and Loops
3:14:41 Essential Built-in Modules
3:26:26 Develop a Simple Game Program
https://youtu.be/ISv6XIl1hn0
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Chapters:
0:00 Introduction to Python programming - Python basics
35:33 Data object types and Type conversion
48:17 Operators and Expressions
1:14:15 Exception Handling
1:34:36 String Methods for Manipulating String Data
2:13:25 Functions
2:28:38 Function Scope
2:38:38 Function Arguments
2:47:54 Conditional Statements and Loops
3:14:41 Essential Built-in Modules
3:26:26 Develop a Simple Game Program
https://youtu.be/ISv6XIl1hn0
Join #epythonlab https://hottg.com/epythonlab
YouTube
Python Programming for Beginners - Full Course
This is a Python programming language tutorial for data science, machine learning, and artificial intelligence for beginners. In this full Python tutorial, you will have a solid understanding of the following topics:
Chapters:
0:00 Introduction to Python…
Chapters:
0:00 Introduction to Python…
Learn how to convert XML data to a Pandas DataFrame in Python with this easy-to-follow tutorial. Start optimizing your data analysis process today!
https://www.youtube.com/watch?v=y2KJJ6uH9tE
https://www.youtube.com/watch?v=y2KJJ6uH9tE
YouTube
Convert XML to Pandas DataFrame in Python
Learn how to convert XML data to a Pandas DataFrame in Python with this easy-to-follow tutorial. Start optimizing your data analysis process today!
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💰Donate to us at https…
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💰Donate to us at https…
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Harry up 😁 programmers is increasing linearly.
According to the #bardai search results, programmers are expected to be 30 million in 2024 in the world workforce.
This is amazing for newbies.
Data source: bardai
Visualization is done by @asibehtenager
#visualization #data
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According to the #bardai search results, programmers are expected to be 30 million in 2024 in the world workforce.
This is amazing for newbies.
Data source: bardai
Visualization is done by @asibehtenager
#visualization #data
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What is the output of the above code? Comment your answer. Join #epythonlab Https://hottg.com/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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Join #epythonlab https://hottg.com/epythonlab
YouTube
Introduction to Object Oriented Programming in Python
This is an introduction to object-oriented programming with Python. In this tutorial, we covered the following core concepts:
0:00 Objects
10:13:14 Classes
25:07:15 Inheritance
34:56:02 Project
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0:00 Objects
10:13:14 Classes
25:07:15 Inheritance
34:56:02 Project
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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
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
YouTube
Filtering Rows and Columns in Pandas DataFrame
Hi everyone, welcome to this tutorial on pandas data manipulation and aggregations functions. In this tutorial, you will learn about top pandas functions that are very useful for filtering required data from the data frame based on the specific criteria…
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
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
https://youtu.be/WQ-OhoXmHU8
YouTube
Transforming Nested XML to Pandas DataFrame
Hello and welcome to this tutorial. In this tutorial, you will learn how to transform XML documents to pandas data frames using Python and the element tree library.
Please like, share, subscribe, and comment.
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Please like, share, subscribe, and comment.
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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
https://www.youtube.com/watch?v=WnbS90EzU0Y
Forwarded from Epython Lab
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
Here, I have made some tutorials about probability distribution for Machine learning using Scipy Python library https://www.youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI
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What will be the output of the following code?
print(float(True))?
Check solution at the comment box
print(float(True))?
Check solution at the comment box
Anonymous Quiz
57%
1.0
15%
1
5%
0
23%
Type Error
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