Hey Everyone, In EDA, I have mistakenly mentioned left skewed as right skewed & vice versa, the distribution plot is also normal (not uniform). Apologies for the inconvenience!!! I will try to avoid these minor mistakes in the future
@xlardar8947
Жыл бұрын
2:22 p.s. thx 4 the video, finally some good description of the features
@YASHKUMARJAIN
2 жыл бұрын
Your videos are reallly helpful but i m really confused how to follow your playlist for ml? Can you please set the sequence or make new playlist in arranged order , it would be really helpful. Thank you
@HackersRealm
2 жыл бұрын
Glad the videos are helpful!!! The project playlist are in the arranged order only. follow the order for learning from beginner to expert level
@yashrawat1157
2 жыл бұрын
When I'm trying to create the boxplot it is showing positional argument follows keyword argument
@tkkkkk4182
Ай бұрын
great content man
@paraskushwaha8453
2 жыл бұрын
I have been given the Boston house dataset which is already split into train.csv and test.csv ..... and now I am confused about how to proceed with this condition......if u can make a video about it will be more helpful or please help me here itself
@HackersRealm
2 жыл бұрын
Please refer titanic dataset analysis project that i have posted recently, in that you can get idea on how to proceed
@paraskushwaha8453
2 жыл бұрын
@@HackersRealm thanks bro really helped a lot
@HackersRealm
2 жыл бұрын
@@paraskushwaha8453 Glad it was helpful!!!
@syedhyderalizaidi3012
3 жыл бұрын
why are not we removing outliers here? why we did normalization instead of removing them?
@HackersRealm
3 жыл бұрын
To avoid losing values, i did normalization, if the outliers are only few, we can implement that also
@sumayyakousar7144
4 жыл бұрын
Hi ashwin.. I went through ur playlist of hacker ranks algorithms solutions using python. Its amazing Is it possible to crack hacker rank interview or should go through more problems? Please reply
@HackersRealm
4 жыл бұрын
Yes, If you solved the first 100 problems, that is enough to clear the online hackerrank round
@bigboodayy1345
2 жыл бұрын
fig, ax = plt.subplots(ncols=7, nrows=2, figsize=(20, 10)) index = 0 ax = ax.flatten() for col, value in df.items(): sns.boxplot(y=col, data=df, ax=ax[index]) index += 1 plt.tight_layout(pad=0.5, w_pad=0.7, h_pad=5.0) When I write this code I get this error. IndexError: index 14 is out of bounds for axis 0 with size 14 Any help?
@HackersRealm
2 жыл бұрын
Can you rerun the notebook from start, it may work!!!
@PassportAndPixels
Жыл бұрын
Why are we normalizing only TAX and not other similar distribution columns like - INDUS, RAD etc
@HackersRealm
Жыл бұрын
if the distribution is more skewed, we can do that. I just shared it for example
@PassportAndPixels
Жыл бұрын
@@HackersRealm Thanks for replying. Just another quick question - how can we decide if we need to have a functional form for the model testing. How do select the Variable?. And how do we know if we are not overfitting the model? Do you have any video which I can refer to?
@HackersRealm
Жыл бұрын
@@PassportAndPixels you can refer the ml concepts playlist to get some idea on this parts
@azadehsahelii4729
2 жыл бұрын
hi. I have question. when do xgboost algorithm one error shows that says "no module named xgboost" .what should I do ?
@HackersRealm
2 жыл бұрын
you have to install xgboost, !pip install xgboost, run this in a seperate cell
@HarshithaChandrashekar-s2s
3 ай бұрын
Why are we removing "rad" along with "medv" for X in the Input Split section?
@sandarsha6354
Жыл бұрын
you saved my life bro thank you so much
@HackersRealm
Жыл бұрын
Happy to help!!!
@muskankhattri9919
10 ай бұрын
dataset link?
@HackersRealm
10 ай бұрын
It's in the description
@BuiMinhHieuN
8 ай бұрын
Excuse me, i have a question? Why you choose min max normalization? Thank you so much
@HackersRealm
8 ай бұрын
If the value ranges are very high, we have to do this preprocessing, we could also use standard scalar, log transformation. Just for teaching purpose I have used that.
@afrahnayeem5027
3 жыл бұрын
Thankyou
@HackersRealm
3 жыл бұрын
You’re welcome 😊
@athiradu1154
3 жыл бұрын
Bro were you predicting the house price??
@HackersRealm
3 жыл бұрын
yes
@athiradu1154
3 жыл бұрын
@@HackersRealm no sir... I have doubt... At last you are not predicting the house price.....is this video incomplete
@HackersRealm
3 жыл бұрын
@@athiradu1154 No, we have check how our model predicting the house price, you can use model.predict to see the results
@pesallway
3 жыл бұрын
Can we keep such projects(regression) in resume???
@fi8379
3 жыл бұрын
when i am trying to create distplot. it is showing me runtime error:Selected KDE bandwidth is 0. Cannot estimate density. what should i do?
@HackersRealm
3 жыл бұрын
Are you applying it in numeric variable?
@HackersRealm
3 жыл бұрын
@@ishwarigadagi8000 for which feature you are trying distplot
@HackersRealm
3 жыл бұрын
@@ishwarigadagi8000 try reinstalling statsmodels
@bishutoshsharma5949
3 жыл бұрын
Sir in 21:00 u r using Sklearn but I'm using it show attributeError why pls help to find error
@HackersRealm
3 жыл бұрын
you have to install that module using pip or install anaconda
@bishutoshsharma5949
3 жыл бұрын
@@HackersRealm yes
@yashkhochare6335
Жыл бұрын
TypeError: LinearRegression.__init__() got an unexpected keyword argument 'normalize' We are facing this error. What to do?
@HackersRealm
Жыл бұрын
try removing that normalize parameter and check again!!!
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