Love_AI_World
It's an AI page and here you can find Python, ML projects, & all Technical knowledge and information.
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18/07/2024
Are you Coming to the UK for your Studies and have lots of questions?
I plan to host a Live Q&A Session to share my experiences and answer all your queries about moving to the UK for studies!
This will be a kind of discussion where everyone can share what they know to help others with queries about expenses, accommodation, jobs, etc.
To help you better, Consider filling out this form with your questions: https://lnkd.in/e4dj5vhs
The session will be on coming Saturday, 20 July, and you will get details through your email.
And YES
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21/04/2023
Hello Guys, ISP Solutions is pleased to invite you to a 30-minute discussion meeting, where we would be delighted to offer you a complimentary call with us for any project-related queries or concerns you may have regarding any topic in Python, data science, machine learning, programming, automation, web scraping, computer vision, APIs, or for general discussions regarding job opportunities, resumes, and technologies.
Use this link to book a free call with us - https://calendly.com/isp_solutions/30_min_discussion
Email id - [email protected]
YouTube - https://youtube.com/
Instagram - https://www.instagram.com/isp_solutio...
Fiverr - https://www.fiverr.com/isp_solutions
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15/02/2023
Hooooooo finally... ISP Solutions🥳🥳🥳
From Fiverr New seller -> Level one🤩😄
So happy to share this post with you all, completed the journey on Fiverr from New seller to Level one.
I started freelancing in my 3rd year of college and till now it's been a really enjoyable journey... I have learnt so many things through freelancing and the best part I like is discussing with different clients from different places. It really helped me a lot in improving my technical skills as well as my communication skills...
Sometimes completing the project on time or handling clients is really a hectic task but in the end, you always learn something.
Thank you, Avinash Sharma and SUSHRITA SWAIN and congratulations we did it!!!✌️
If you want to check out our profile here are some gigs -
https://lnkd.in/gFwP9Qfp
https://lnkd.in/gT87caDg
https://lnkd.in/g9_kuima
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02/12/2022
Whenever the Python script compiles, it automatically generates a compiled code called as byte code. The byte-code is not actually interpreted to machine code, unless there is some exotic implementation such as PyPy.
The byte-code is loaded into the Python run-time and interpreted by a virtual machine, which is a piece of code that reads each instruction in the byte-code and executes whatever operation is indicated.
Byte Code is automatically created in the same directory as .py file, when a module of python is imported for the first time, or when the source is more recent than the current compiled file. Next time, when the program is run, python interpreter use this file to skip the compilation step. Running a script is not considered an import and no .pyc file will be created.
For instance, let’s write a script file abc.py that imports another module xyz.py. Now run abc.py file, xyz.pyc will be created since xyz is imported, but no abc.pyc file will be created since abc.py isn’t being imported.
But there exist an inbuilt py_compile and compileall modules and commands which facilitate the creation of .pyc file.
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05/10/2022
Are you preparing for a coding interview? This post is for you. It contains a list of the most asked interview questions from each topic.
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26/09/2022
Top 5 highest paying IT job roles in India :--
1. Data Scientist
2. Full-Stack Developer
3. Cloud Engineer (DevOps)
4. Blockchain Engineer
5. IoT Solutions Architect
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04/09/2022
The output of a program is the result of running the program.
The output of a program is what it produces when run. The output can either be in the form of data or physical items.
A program is a set of instructions that tells a computer what to do. Programs are created by programmers and are stored on digital storage devices such as disks and RAM.
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04/09/2022
Magic Methods in Python Operator overloading - The method automatically gets called when an operator is used in an expression called operator overloading and those methods are magic methods.
Magic methods are a set of functions in the Python programming language, which can be used to solve problems that cannot be solved with other Python constructs.
The following is a list of magic methods:
· __init__(self) - this method is called when an instance of the class is created.
· __str__(self) - this method returns a string representation of an object.
· __repr__(self) - this method returns the representation of an object in its canonical form.
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04/09/2022
Time complexity is a measure of how the running time of an algorithm changes as the size of its input increases.
A problem with O(n) time complexity is that it will take linear time to complete when the input size n is increased by a small amount. This means that if you double the input size, it will take four times longer to compute.
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25/08/2022
It can be very useful in your work. Processing and storing data through Document AI will save a lot of time. To learn more about this or how you can use it, refer to this -
https://codelabs.developers.google.com/codelabs/docai-ocr-python #0
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23/08/2022
One of the important points while selecting features for training the ML model -
Pick any variable as the feature for model training which shows high discrimination. Suppose we have a target variable then we will see the features whose categories will show the discrimination for the target variable. If any category in the feature shows very high discrimination while others are not showing and the count of that category is very less then we will ignore that feature because in that case model can be biased towards that category
Other points are coming soon....
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23/08/2022
One of the important points while selecting features for training the ML model -
Pick any variable as the feature for model training which shows high discrimination. Suppose we have a target variable then we will see the features whose categories will show the discrimination for the target variable. If any category in the feature shows very high discrimination while others are not showing and the count of that category is very less then we will ignore that feature because in that case model can be biased towards that category
Other points are coming soon....
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