Six lines of Python is all it takes to write your first machine learning program! In this episode, we’ll briefly introduce what machine learning is and why it’s important. Then, we’ll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up.
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That sound effect between slides is incredibly annoying by the way. Incredibly.
On PyCharm I got a warning for:
print(clf.predict([[160, 0]])) # Unresolved attribute reference 'predict' for class 'object'
Hey everyone, I'm trying to remodel the code seen in 5:42 in pycharm. I successfully added tensorflow and sklearn as packages of my interpreter. But every time when I'm writing the first line of code, it turns gray. What am I doing wrong? Has someone any ideas?
'method' object is not subscriptable on the print line
I really enjoyed ur process of explanation ❤️❤️
Ultimate fast n furious version with good background music… 🙂
how do you start coding after instlled anaconda?
hey please make a video on ranking algorithm for SEO
How do you open the "hello_world.py" app?
Python?I want Java…..
This is just awesome I am new to ML Can you please tell me that before starting ML do I need to learn Python I m a java developer
Awesome
ImportError: numpy.core.multiarray failed to import
Sir your videos on Machine Learning Recipes are really amazing and easy to understand but can you please reference some textbooks that are easy to understand for beginner and would cover topics in detail
its awesome, this small video has cleared my many ambiguities about ML. thanks sir and thanks Google
So machine learning is package and dependency hell.
Aka good luck with GPO and UAC on Windows 10.
Thinking of picking up a chromebook or some small laptop and get a unix/gnu distro if ima get into this .
I see what you did there, Google ?
I bet thorough tutorials using cmd or PowerShell on Windows 10 are scarce. Like usual. Thanks #Microsoft #Win10Probs
Btw not trying to hate im just joking mostly.
Thank you for your articulate tutorial nonetheless
Huh 2 year wasted. Thanks a lot for the video 🙂
I love this video.
Hey! great video!
Thank for sharing, the video is very interesting. I really liked your view about .
http://autointelli.com/
OMG this guy looks so god damn happy and peaceful. God bless his soul.
I'm getting, "no module sklearn" on my macbook. Off to google!
WOW!!! This is the best explanation of ML ever! Clear and Simple, will watch the rest of the series?
i like how short the videos are
I am working with certain sensors and i am not getting stable readings. Lots of jitter for even a stable position. Like the value keeps on shifting between 2-3 values. Is it possible to use machine learning for obtaining a stable reading? Like is there some classifier I can use?
After watching a lot of other AI guys, was thinking this guy sounds very professional wow he did really well for his (personal) channel … lo and behold it's Google! 🙂
where to write this code… i have downloaded anaconda ? 2:46
This is a very clear explanation, I've more learned here in a few minutes than in over all websearch
Wonderful. Here is my attempt at the Sportscar-Minivan example!
from sklearn import tree
#features– horsepower,seats (supervised learning)
features=[[300,2],[450,2],[200,8],[150,9]]
#labels 0-sportscar, 1-minivan
labels=[0,0,1,1]
clf=tree.DecisionTreeClassifier()
clf=clf.fit(features,labels)
res=clf.predict([[250,5]])
if(res==0):
print("It is a Sportscar")
else:
print("It is a Minivan")
I started being really interested in AI and Machine Learning after playing Detroit Become Human lol
do i require phython or any other knowledge for starting machine learning??..if yes plzz tell me anyone what are those ??
which anaconda virion do you use
pls
<html><head><body><h1>Hello World</h1></body></head></html>
"ValueError: Expected 2D array, got 1D array instead:
array=[160. 0.].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample."
Data neither has a single feature nor contains a single simple. Any ideas?
Tks, very good explanetion
Good 1 to start with ML. Presenter is clear and confident .