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Project Data Science
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Добавлен 7 май 2020
Not your average data science channel. Learn through doing.
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Project Data Science courses: projectdatascience.com/
80/20 NumPy—NumPy for Data Science
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The 20% of NumPy that you need to know to get 80% of the value.
NumPy is a numeric computation library that is the foundation of many other Python data science libraries. Using pandas? It's built on NumPy. Using Scikit-Learn? Also built on NumPy.
If you're going to be doing data science in Python, you're going to need to know how to use the primary object in NumPy-NumPy arr...
Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner.
Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/
...
The 20% of NumPy that you need to know to get 80% of the value.
NumPy is a numeric computation library that is the foundation of many other Python data science libraries. Using pandas? It's built on NumPy. Using Scikit-Learn? Also built on NumPy.
If you're going to be doing data science in Python, you're going to need to know how to use the primary object in NumPy-NumPy arr...
Просмотров: 8 328
Видео
80/20 Pandas-Pandas for Data Science
Просмотров 4,6 тыс.3 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... The 20% of pandas that you need to know to get 80% of the value. Panda...
Jupyter Notebook Tutorial
Просмотров 98 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... Jupyter notebooks have become more and more popular within data scienc...
Setting Up Your Python Data Science Environment
Просмотров 40 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... Setting up a Python data science coding environment can be a daunting ...
Matplotlib Mega-Tutorial - Data visualization in Python
Просмотров 8 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... Matplotlib is the foundational data visualization library for Python. ...
Pandas Mega-Tutorial - Learn one of Python's most useful data science libraries
Просмотров 15 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... pandas (yes, it is technically lowercase!) is by far one of the most p...
Beginner's Introduction to Neural Networks in Python [Mini-Course] Data Science Tutorial with Keras
Просмотров 4,1 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... Introduction to Using Neural Networks in Python. In this mini-course, ...
Intro to Machine Learning with Python 4: Train a Logistic Regression Model
Просмотров 10 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Intro to Machine Learning with Python 6: Model Tuning and Test Set Accuracy
Просмотров 7 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Intro to Machine Learning with Python 7: Wrap-Up and Congratulations!
Просмотров 2,2 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Intro to Machine Learning with Python 3: Train Test Split and Baseline Modeling
Просмотров 10 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Intro to Machine Learning with Python 2: Exploratory Data Analysis
Просмотров 13 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Intro to Machine Learning with Python 5: Cross-Validation and Identifying Misclassified Points
Просмотров 4,7 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Intro to Machine Learning with Python 1: Welcome and Project Setup
Просмотров 33 тыс.4 года назад
Never miss a tutorial! Subscribe to the Project Data Science channel: bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! www.projectdatascience.com/what-is-data-science/ ... In this short course, I walk you through an introduction to data scien...
Thank you so much for your time presenting this; it is a major help!
it felt like i had a friend teach me everything from the very beginning, thank you so much.
can anyone help me with practical implementation video on eye iris feature location project? i mean live example of how to work with gray scale images and how to find out their features?
i was trying to call jupyter notebook from powershell but couldnt as it showed no cmdlet named jupyter, please help
If possible could you please come up with working on different models in machine learning?
Would you be able to tutor via zoom? Would that be possible?
Your teaching is simply amazing, concise and clear. Please make more videos! :)
Thank you
Thank you
have a good time. Great job. Thank you so much!
Thank you
Bruh u are a YAPPER yap yap yap yap. but at least your info is correct. Ill give you credit
15:26 in my case greens points data and oranges are separate very clear
you really helped me a lot by making these amazing tutorials
12:53 i got 1.0 is that fine ? sorry for my english gramal i speak spanish
Thank you
You’re amazing, this was such a great course
it's Alt-Shift-I in windows, the command palette will show you, to multi-line add cursors haven't figured out the multi-select yet
hmmmm, I ended up tracing back to check for where I went wrong in the last part but I think I got there. Eventually corrected what was returning test set accuracy as 100% to more like 97%. I think i misused the parameters to model.fit the first try because I had made comparative versions of the fit before the cross validation and tuning. Great videos will definitely do a re-walk through to check I had things right.
i found the tutorial strait to the point. I struggled a lot trying to get a dark theme for my jupyter notebook which came with a lot issues and didn't eventually work. Your tutorial ultimately brought the breakthrough I needed.
Thank you so much for this video! Listened till the end.
Amazing tutorial!! Learning pandas with you is incredibly enjoyable and with valuable takeaways!
Great series of Numpy and Pandas, love your voice and the speed of lecturing!
Thank you. So much useful.
this playlist is like a gemstone in a sea of gunk
Hey, I thank you so so soooo,... much. I've been looking for this tutorial for months and finally someone who covers it the way you did. THIS IS AMAZING & EDUCATIONAL FOR ALL BEGINNERS WHO DON'T KNOW HOW TO SET UP THEIR ENVIRONMENT. GOD Bless You❤
From where you have loaded the dataset?
thank you, truly appreciate it
great talk!
Any future comments on how to do these on Windows pls let me know.
This video is amazing well organized. Pls keep making them. I'm an engineer trying to learn programming.
Hi Mate: I am currently in an apprenticeship for data science work in IT and I hope this helps me understand the topic a little better. I am curious though, is there any technical reason for working in a jupyter notebook as opposed to a bunch of .py files? Or is it easier for educational purposes?
Hey bud, thanks for the video it's great. I have a question about my Jupyter notebook. When I start coding, I see your notebook changes colors. like for example when you type import its green and when you type print its red. Mine always stays white. what am I doing wrong? I have downloaded the latest version, but it doesn't change colors at all. Also, I see you notebook is white. Mine comes automatically in black. Could this be why? I just want to see the changes, so I don't get confused. Could you give me a suggestion on what to do? Thank you in advance
"x" key I thought is for cut, then "v" for paste, Del is "dd" (double d)
How to install multiple packages of python in widows and Linux without using internet in that system
Excellent tutorial. Lots of handy information.
Thanks a lot for your course. It was perfectly clear and helped me a lot.
Thank you so much, i'm learning data science and every body explain all this algorithms but no one explain the 3 basic modules used constantly throughout the algorithm : Numpy, Pandas and matplotlib I'm lookinh through all of ur videos on the subject ! Thx !!!
one of the most underrated tutorial for matplotlib. Thank you for providing such a great tutorial
That's the great video but could you make a picture more clear and bigger? I have a sigh-problems and I'm begginer and I can catch your information just by ears..it's quite difficult to understand whole process. Thanks a lot, really appreciate your explanation
your the best teacher ever
make more videos pleasssss
oh my god why dont you just make more videos???????
oh my god your the bestttt
Thanks you, bro. Its very interesting lessons!
A very goood explain, tnks!!!
Thank you sir! Well done.
wanna say thanks a lot. this course is very good about beginning to supervised models
I learned a lot, thank-you!
Thanks a lot. The best tutorial by far.