- 250
- 1 077 686
technologyCult
India
เข้าร่วมเมื่อ 3 ธ.ค. 2017
The objective of this course is to give you the basic understanding of Python programming required for Machine Learning.
I will cover the topics related to Pandas, Numpy, Matplotlib, sklearn, seaborn, matplotlib, Linear Regression, Logistic Regression
The videos covered in this Channel is like the alphabets of the Machine Learning.
I will cover the topics related to Pandas, Numpy, Matplotlib, sklearn, seaborn, matplotlib, Linear Regression, Logistic Regression
The videos covered in this Channel is like the alphabets of the Machine Learning.
Python 3 Basics # 16.2 | How to print Subscript and Superscript with Python
Python 3 Basics # 16.2 | How to print Subscript and Superscript with Python
Topics to be covered:
1. Negative values
2. Positive values
3. Double digit and more
Github link - github.com/technologycult/PythonBasics/tree/master/Dictionary
All Playlist of this youtube channel
==============================
1. Data Preprocessing in Machine Learning
th-cam.com/play/PLE-8p-CwnFPuOjFcbnXLFvSQaHFK3ymUW.html
2. Confusion Matrix in Machine Learning, ML, AI
th-cam.com/play/PLE-8p-CwnFPvXzvsEcgb0IZtNsw_0vUzr.html
3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
th-cam.com/play/PLE-8p-CwnFPsBCsWwz_BvbZZHIVQ6wSZK.html
4. Cross Validation, Sampling, train test split in Machine Learning
th-cam.com/play/PLE-8p-CwnFPsHtol5WXHhq_B3kQPggHH2.html
5. Drop and Delete Operations in Python Pandas
th-cam.com/play/PLE-8p-CwnFPtvqVVK7QVFsMvDvp2YgCnR.html
6. Matrices and Vectors with python
th-cam.com/play/PLE-8p-CwnFPsndwnZnL7nXW5mIrdRmgdg.html
7. Detect Outliers in Machine Learning
th-cam.com/play/PLE-8p-CwnFPvyCX35yES5D9W7vThiUzwk.html
8. TimeSeries preprocessing in Machine Learning
th-cam.com/play/PLE-8p-CwnFPv10bru3719xzDNIgbO6hXA.html
9. Handling Missing Values in Machine Learning
th-cam.com/play/PLE-8p-CwnFPvOec0LZ40Bt8OQcbLFa236.html
10. Dummy Encoding Encoding in Machine Learning
th-cam.com/play/PLE-8p-CwnFPvu7YriqMZsL9UDbqUUk90x.html
11. Data Visualisation with Python, Seaborn, Matplotlib
th-cam.com/play/PLE-8p-CwnFPuYBYsmbfMjROOCzKjCwyMH.html
12. Feature Scaling in Machine Learning
th-cam.com/play/PLE-8p-CwnFPtwpVV3FwzwYZYR5hT3i52G.html
13. Python 3 basics for Beginner
th-cam.com/play/PLE-8p-CwnFPu-jseUMtc4i47jQZN4PNbf.html
14. Statistics with Python
th-cam.com/play/PLE-8p-CwnFPta0COlxS6E5u14m5ouzbRU.html
15. Sklearn Scikit Learn Machine Learning
th-cam.com/play/PLE-8p-CwnFPtAGb29r8F7up9ilZUXt3l1.html
16. Python Pandas Dataframe Operations
th-cam.com/play/PLE-8p-CwnFPv_63lkT_Tztiwknv_zGTNy.html
17. Linear Regression, Supervised Machine Learning
th-cam.com/play/PLE-8p-CwnFPslDi6sfFbFK4KXcVlLwaOM.html
18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
th-cam.com/play/PLE-8p-CwnFPt7VBhcnh82y0autSzuOrZp.html
19. Jupyter Notebook Operations
th-cam.com/play/PLE-8p-CwnFPtqkFd67OZcoSv4BAI7ez5_.html
20. Logistic Regresion in Machine Learning, Data Science
th-cam.com/play/PLE-8p-CwnFPsg-iYUrsQgBJ-li9pIVv0A.html
21. Learn Microsoft Excel Basics
th-cam.com/play/PLE-8p-CwnFPsFU6X0kIJrY0JtkqYsNPz5.html
Topics to be covered:
1. Negative values
2. Positive values
3. Double digit and more
Github link - github.com/technologycult/PythonBasics/tree/master/Dictionary
All Playlist of this youtube channel
==============================
1. Data Preprocessing in Machine Learning
th-cam.com/play/PLE-8p-CwnFPuOjFcbnXLFvSQaHFK3ymUW.html
2. Confusion Matrix in Machine Learning, ML, AI
th-cam.com/play/PLE-8p-CwnFPvXzvsEcgb0IZtNsw_0vUzr.html
3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
th-cam.com/play/PLE-8p-CwnFPsBCsWwz_BvbZZHIVQ6wSZK.html
4. Cross Validation, Sampling, train test split in Machine Learning
th-cam.com/play/PLE-8p-CwnFPsHtol5WXHhq_B3kQPggHH2.html
5. Drop and Delete Operations in Python Pandas
th-cam.com/play/PLE-8p-CwnFPtvqVVK7QVFsMvDvp2YgCnR.html
6. Matrices and Vectors with python
th-cam.com/play/PLE-8p-CwnFPsndwnZnL7nXW5mIrdRmgdg.html
7. Detect Outliers in Machine Learning
th-cam.com/play/PLE-8p-CwnFPvyCX35yES5D9W7vThiUzwk.html
8. TimeSeries preprocessing in Machine Learning
th-cam.com/play/PLE-8p-CwnFPv10bru3719xzDNIgbO6hXA.html
9. Handling Missing Values in Machine Learning
th-cam.com/play/PLE-8p-CwnFPvOec0LZ40Bt8OQcbLFa236.html
10. Dummy Encoding Encoding in Machine Learning
th-cam.com/play/PLE-8p-CwnFPvu7YriqMZsL9UDbqUUk90x.html
11. Data Visualisation with Python, Seaborn, Matplotlib
th-cam.com/play/PLE-8p-CwnFPuYBYsmbfMjROOCzKjCwyMH.html
12. Feature Scaling in Machine Learning
th-cam.com/play/PLE-8p-CwnFPtwpVV3FwzwYZYR5hT3i52G.html
13. Python 3 basics for Beginner
th-cam.com/play/PLE-8p-CwnFPu-jseUMtc4i47jQZN4PNbf.html
14. Statistics with Python
th-cam.com/play/PLE-8p-CwnFPta0COlxS6E5u14m5ouzbRU.html
15. Sklearn Scikit Learn Machine Learning
th-cam.com/play/PLE-8p-CwnFPtAGb29r8F7up9ilZUXt3l1.html
16. Python Pandas Dataframe Operations
th-cam.com/play/PLE-8p-CwnFPv_63lkT_Tztiwknv_zGTNy.html
17. Linear Regression, Supervised Machine Learning
th-cam.com/play/PLE-8p-CwnFPslDi6sfFbFK4KXcVlLwaOM.html
18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
th-cam.com/play/PLE-8p-CwnFPt7VBhcnh82y0autSzuOrZp.html
19. Jupyter Notebook Operations
th-cam.com/play/PLE-8p-CwnFPtqkFd67OZcoSv4BAI7ez5_.html
20. Logistic Regresion in Machine Learning, Data Science
th-cam.com/play/PLE-8p-CwnFPsg-iYUrsQgBJ-li9pIVv0A.html
21. Learn Microsoft Excel Basics
th-cam.com/play/PLE-8p-CwnFPsFU6X0kIJrY0JtkqYsNPz5.html
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How to load and run python .py files in jupyter notebook? Topics to be covered 1. %env 2. %run .py file 3. %load .py file 4. %save .py file 5. %history 6. %%writefile .py file All Playlist of this youtube channel 1. Data Preprocessing in Machine Learning th-cam.com/play/PLE-8p-CwnFPuOjFcbnXLFvSQaHFK3ymUW.html 2. Confusion Matrix in Machine Learning, ML, AI th-cam.com/play/PLE-8p-CwnFPvXzvsEcgb0...
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for some, it is c.ServerApp.browser instead of c.NotebookApp.browser
Great Explanation bro
Thank you 🙂
A thousand thanks
You are awesome 😊
Tq sir❤
You are Welcome 😊
Tq sir
You are Welcome 😊
Fast and simple, thanks for the help
You are welcome
how about jupyter lab
At the moment I am usiing this way, hope this will save my life lol !
Ok .. Thankyou
which way best one?
There are multiple videos for this topic in my library
For some of them, just by running the first two commands. It might actually work. Thanks brother for the video ❤
Glad I could help
Hi, I need to group/sort rows that have data with more than 75% similarity. How do i go about it?
You can use pandas similarity function or cosine similarity based on your requirement
Thanks
You are Welcome 😊
I have a question. Suppose I want to impute the value for Column C in a row. If three nearest neighbors are identified based on Euclidean distance, what should be done if all those neighbors have NaN values in Column C? Additionally, what if only one or two of the three neighbors have NaN values in Column C? In this case what will be the value for imputation?
Sir its showing,jupyter is not recognised internal or external cammand
You need to reinstall jupyter
How do you compare two pyspark dataframes?
stackoverflow.com/questions/60279160/compare-two-dataframes-pyspark
why is this so underrated? Awesome channel with proper explanation
Thankyou
For micro-average-precision in A class TP = 32 but FP = 10+8 = 18 and so on for all the classes and for micro-average-recall in A class TP = 32 but FP = 9+12 = 21 and so on for all the classes. You made a mistake here and do opposite of this i think you un-intentionally do this mistake. I am telling this here for all the students who come to this video to avoid this mistake. Anyways good and informative video 🙂Thanks
Thankyou for pointing out the mistake .. I hope this will help users..
@@technologyCult Welcome
people like you maintain the professionalism and humanity, thanks for existing.
Thankyou 🙂
It was really helpful, thanks homie❤
Glad it helped
After doing this My all old files are not visible😢 how to access those files can you please reply me
Thankyou 🙂
exactly what i am looking for . i did not know what the thumbnail meant . but found the right video . Thank you
Glad it helped!
Thank you really helpful
Glad it helped
Yeah bro, its work good. thanks a lot
You're welcome!
Thank You So Much Sir..
You are Welcome 😊
i am very irritate you changed my file location now it is not opening in any browser .....
I have access to the nb extensions but it doesn't do anything
I tried editing using notepad++ but it doesn't work for some reason. Doing it with notepad along with copying the folder address AND adding "\\" (without the " ") before adding the browser .exe file works. Also the %s is important too
there was another video for this which is 10 minutes long. thanks for making it very short
You're welcome
Other than C drive please 🥺
C:\Users\syadi>jupyter notebook --generate-config Script file 'C:\Users\syadi\OneDrive\Documents\anaconda\Scripts\jupyter-script.py' is not present?
Didnt work, I defaulted the browser I wanted to open jupiter with, for everything web related, and it worked.
Thanks for your help bro
You are Welcome 😊
Sir, In my laptop it is not working. I have windows 11, can you please help me how to install?I have run all commands still it is not working.
yes sure
------------------ execute one by one conda install -c conda-forge notebook conda install -c conda-forge jupyter_contrib_nbextensions jupyter contrib nbextension install --user jupyter nbextensions_configurator enable --user --------------- Found this on stackoverflow
Shift+tab doesnt work in jupyter Lab , if someone can please help
Same for me. The ? doesnt work either. I don't understand what I'm doing wrong.
great work
Thank you! Cheers!
thank you for saving me my punjabi king, may god bless your day
It's my pleasure
When ever I am opening the anaconda and click on jupyter notebook.it will opened in notepad.i want to change it for Google Chrome or Microsoft edge
After 40 hours of running through hells on various internet pages, finally your tactics solved my headache! Thanks a lot.
Glad it helped!
😍😍😍😍😍😍😍😍
thank you!
You're welcome!
I am a new python learner, your this video has helped me a lot.
Thankyou
nice explaination bro
Thankyou 🙂
thank you very much
You are Welcome 😊
Very good tutorial.if we want to access previous row inside apply function, how can we do that. ? If I have index defined, can I do row.index-1 or if I dont have index defined , how do we know current location of current row?
k thanks , be quiet
Dude! I've been trying to get this to work for a solid 24 hours before catching your video. In the end, the solution was super simple. lol Thanks for your video!
Glad I could help!
thank you.
You're welcome
I get an error (i.e. SyntaxError : EOL while scanning string literal) if I try this: print(R"C:\Users\User1\Downloads\") # where there is a back-slash at the end of the string. Could please you help me on this?
Thanks a lot
Most welcome
i love you