Step-by-step guide to code debugging in VSCode
https://www.youtube.com/watch?v=cJFYnHtEy1M
https://www.youtube.com/watch?v=cJFYnHtEy1M
YouTube
Step-by-Step Guide to Debugging in VS Code
Debugging Python code effectively involves understanding the tools and techniques that can help you identify and fix issues. Using the built-in debugger in VS Code is a powerful way to accomplish this. Below is a guide on how to use the VS Code debugger to…
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Python as an ETL tool? ETL Process Pipeline with Python: https://youtu.be/3J1D33US7NM
Test ETL Pipeline: https://youtu.be/78x6V5q34qs
Test ETL Pipeline: https://youtu.be/78x6V5q34qs
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Happy Birth day to Telegram!! It turns 11.
Thank you for connecting us, and here's to many more years of building incredible and educated communities.
Thank you for connecting us, and here's to many more years of building incredible and educated communities.
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The Latest AI Revolution: How Foundation Models are Reshaping the Future of Machine Learning and Python Development
https://medium.com/@epythonlab/the-latest-ai-revolution-how-foundation-models-are-reshaping-the-future-of-machine-learning-and-6b9a341b8d0d
https://medium.com/@epythonlab/the-latest-ai-revolution-how-foundation-models-are-reshaping-the-future-of-machine-learning-and-6b9a341b8d0d
Medium
The Latest AI Revolution: How Foundation Models are Reshaping the Future of Machine Learning and…
Artificial Intelligence (AI) and Machine Learning (ML) have become the bedrock of modern technology, influencing everything from healthcare…
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Machine Learning: Best Practices of Classification Models towards Predicting Loan Type
https://medium.com/p/c510d9b0dff6
https://medium.com/p/c510d9b0dff6
Medium
Best Practices for Classification Models in Predicting Loan Types
In this article, I have outlined the best practices for machine learning models that predict loan types (Creditworthy or Non-Creditworthy)…
Best Python Machine Learning Projects to Boost Your Skills
https://medium.com/@epythonlab/best-python-machine-learning-projects-to-boost-your-skills-96677345b57d
https://medium.com/@epythonlab/best-python-machine-learning-projects-to-boost-your-skills-96677345b57d
Medium
Best Python Machine Learning Projects to Boost Your Skills
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ai vs ml vs dl.pdf
470.3 KB
AI vs ML vs DL
Understanding Artificial Intelligence, Machine Learning, and Deep Learning
https://youtu.be/qSyDFGUXS9M
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Understanding Artificial Intelligence, Machine Learning, and Deep Learning
https://youtu.be/qSyDFGUXS9M
Join #epythonlab https://t.me/epythonlab
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Tips how to be good at Algorithms(2).pdf
1.6 MB
Tips how to be good at algorithms
Check out video: https://www.youtube.com/watch?v=TM_EY7LIpwc
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Learn #python from #epythonlab
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Learn #python from #epythonlab
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Find Missing Number in a consecutive arranging array
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The Ultimate Roadmap to Becoming an AI Developer
https://medium.com/p/00c43de8311a
If you like this content, send star⭐️
https://medium.com/p/00c43de8311a
If you like this content, send star⭐️
Medium
The Ultimate Roadmap to Becoming an AI Developer
Today, Artificial Intelligence (AI) is transforming industries, driving innovation, and shaping the future of technology. As an aspiring AI…
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#PROJECTCHALLENGE #LOOP #DICTIONARY #LIST #FUNCTIONS
Scrabble
In this project, you will process some data from a group of friends playing scrabble. You will use dictionaries to organize players, words, and points.
There are many ways you can extend this project on your own if you finish and want to get more practice!
N.B: You should go through each task to complete this project.
Post your solution via @PYTHONETHBOT
Don't post your solution in the group
Follow instructions accordingly
Tasks
letters = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]
points = [1, 3, 3, 2, 1, 4, 2, 4, 1, 8, 5, 1, 3, 4, 1, 3, 10, 1, 1, 1, 1, 4, 4, 8, 4, 10]
1. I have provided you with two lists, letters and points. You would like to combine these two into a dictionary that would map a letter to its point value.
Using a list comprehension and zip, create a dictionary called letter_to_points that has the elements of letters as the keys and the elements of points as the values.
2. Our letters list did not take into account blank tiles. Add an element to the letter_to_points dictionary that has a key of " " and a point value of 0.
3. We want to create a function that will take in a word and return how many points that word is worth.
Define a function called score_word that takes in a parameter word.
4. Inside score_word, create a variable called point_total and set it to 0.
5. After defining point_total, create a for loop that goes through the letters in word and adds the point value of each letter to point_total.
You should get the point value from the letter_to_points dictionary. If the letter you are checking for is not in letter_to_points, add 0 to the point_total.
6. After the for loop is finished, return point_total.
7. Let’s test this function! Create a variable called asibeh_points and set it equal to the value returned by the score_word() function with an input of "ASIBEH".
8. We expect the word ASIBEH to earn 11 points:
(A + S + I + B + E + H)
Let’s print out asibeh_points to make sure we got it right.
9. Create a dictionary called player_to_words that maps players to a list of the words they have played. This table represents the data to transcribe into your dictionary:
player1 wordNerd Lexi Con Prof Reader
BLUE EARTH ERASER ZAP
TENNIS EYES BELLY COMA
EXIT MACHINE HUSKY PERIOD
10. Create an empty dictionary called player_to_points.
11. Iterate through the items in player_to_words. Call each player player and each list of words words.
Within your loop, create a variable called player_points and set it to 0.
12. Within the loop, create another loop that goes through each word in words and adds the value of score_word() with word as an input.
13. After the inner loop ends, set the current player value to be a key of player_to_points, with a value of player_points.
14. player_to_points should now contain the mapping of players to how many points they’ve scored. Print this out to see the current standings for this game!
If you’ve calculated correctly, wordNerd should be winning by 1 point.
====GOOD LUCK=====
Scrabble
In this project, you will process some data from a group of friends playing scrabble. You will use dictionaries to organize players, words, and points.
There are many ways you can extend this project on your own if you finish and want to get more practice!
N.B: You should go through each task to complete this project.
Post your solution via @PYTHONETHBOT
Don't post your solution in the group
Follow instructions accordingly
Tasks
letters = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]
points = [1, 3, 3, 2, 1, 4, 2, 4, 1, 8, 5, 1, 3, 4, 1, 3, 10, 1, 1, 1, 1, 4, 4, 8, 4, 10]
1. I have provided you with two lists, letters and points. You would like to combine these two into a dictionary that would map a letter to its point value.
Using a list comprehension and zip, create a dictionary called letter_to_points that has the elements of letters as the keys and the elements of points as the values.
2. Our letters list did not take into account blank tiles. Add an element to the letter_to_points dictionary that has a key of " " and a point value of 0.
3. We want to create a function that will take in a word and return how many points that word is worth.
Define a function called score_word that takes in a parameter word.
4. Inside score_word, create a variable called point_total and set it to 0.
5. After defining point_total, create a for loop that goes through the letters in word and adds the point value of each letter to point_total.
You should get the point value from the letter_to_points dictionary. If the letter you are checking for is not in letter_to_points, add 0 to the point_total.
6. After the for loop is finished, return point_total.
7. Let’s test this function! Create a variable called asibeh_points and set it equal to the value returned by the score_word() function with an input of "ASIBEH".
8. We expect the word ASIBEH to earn 11 points:
(A + S + I + B + E + H)
Let’s print out asibeh_points to make sure we got it right.
9. Create a dictionary called player_to_words that maps players to a list of the words they have played. This table represents the data to transcribe into your dictionary:
player1 wordNerd Lexi Con Prof Reader
BLUE EARTH ERASER ZAP
TENNIS EYES BELLY COMA
EXIT MACHINE HUSKY PERIOD
10. Create an empty dictionary called player_to_points.
11. Iterate through the items in player_to_words. Call each player player and each list of words words.
Within your loop, create a variable called player_points and set it to 0.
12. Within the loop, create another loop that goes through each word in words and adds the value of score_word() with word as an input.
13. After the inner loop ends, set the current player value to be a key of player_to_points, with a value of player_points.
14. player_to_points should now contain the mapping of players to how many points they’ve scored. Print this out to see the current standings for this game!
If you’ve calculated correctly, wordNerd should be winning by 1 point.
====GOOD LUCK=====
Python POP QUIZ: What is the output of the following code?
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#python #shorts #pythontricks #epythonlab
👉Learn More Python Tips and Tricks: https://bit.ly/Pythontoptips
👉Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
A step by step tutorial on how to build and publish your own python library https://youtu.be/ZQlDrNvQn6Y
YouTube
How to Build a Complete Python Package Step-by-Step Tutorial
Python libraries are a great way to share code with others and to make your code more reusable. In this video, you will learn how to build a Python library from scratch. You will learn how to structure your library, how to write documentation, and how to…
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Detecting and removing outliers using boxplot
https://youtu.be/YfNfjqY6x0o
How to Detect and Remove Outliers using Interquantile Range in Python
https://www.youtube.com/watch?v=d-EdtWN9epg&list=PL0nX4ZoMtjYEYGxhBRtFk9aIgEt9uDuCV&index=4
https://youtu.be/YfNfjqY6x0o
How to Detect and Remove Outliers using Interquantile Range in Python
https://www.youtube.com/watch?v=d-EdtWN9epg&list=PL0nX4ZoMtjYEYGxhBRtFk9aIgEt9uDuCV&index=4
YouTube
How to Identify and Detect Outliers using Boxplot in Python
Join this channel to get access to perks:
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In this tutorial, you will learn how to identify and detect outliers of your dataset using Boxplot in Python.
#python #machinelearning #datascience #outlier #boxplot
Ask your question at h…
https://bit.ly/363MzLo
In this tutorial, you will learn how to identify and detect outliers of your dataset using Boxplot in Python.
#python #machinelearning #datascience #outlier #boxplot
Ask your question at h…
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#PavelDurov has taken us from facebook jail. He gave us Freedom #FREEDUROV
Dear Learners,
Today, we will release the first episode of how to setup MongoDb in Vs Code for better code management.
Stay Tuned.
Today, we will release the first episode of how to setup MongoDb in Vs Code for better code management.
Stay Tuned.
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MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code : https://www.youtube.com/watch?v=nm-7rM5mnYE
Next we will share you how to create collections and read data. Stay tuned!!
Next we will share you how to create collections and read data. Stay tuned!!
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You can learn Probability Distribution for Machine Learning with Python Visualization https://bit.ly/495L8b5
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🔗 Link to Linear Algebra https://bit.ly/45EpfwB
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#python #machinelearning #projects #probability #epythonlab
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#python #machinelearning #projects #probability #epythonlab
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