Titanic Survival Prediction Using Machine Learning

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Titanic Survival Prediction Using Machine Learning

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As a beginner, this is excellent tutorial. Easy to follow and understand the concept and logic in analyzing data. Adding comments are very helpful to me. What makes your tutorial best is the REASONING, not like others tutorial they just show their skills in coding. You are way way better than my school instructor.

carlosuares

Amazing tutorial thank you so much and don't worry about the length of the video I liked the fact that you were explicit. This helped me tremendously to build a basic understanding of how to approach a problem like this.

mangaart

Thank you for posting. I have zero experience with Python and could follow along learning as I go. You saved me as an aspiring data scientist!!!! Thank

seanedhuie

Great video...really helped me alot on my homework about the Titanic .... Machine Learning. Our teacher recommended this platform and I can see why; what a huge difference from a standard IDE. Again, thanks for creating such a really great video.

fsaforosaforo

This was very helpful. And many thanks to you sir for explaining so well.

manjuladas

For anyone who is still working on this and couldn't figure out why the ending didn't work, at the very end, instead of having fit_transform, use
fitted=sc.fit(X_train)
my_survival = fitted.transform(you)
everything else is the same! (The reason that it did not work in the video is that we are trying to scale only one row of data on its own and not with the training data that we used, therefore after the fit_transform we get the same array back, but if you fit the training data into a separate scaler object, you can use that object to transform your single row

Sephalex

From my understanding In the end the model didn't work because of using the fit_transform method for the my_survival array. If we use fit_transform method then it will change the average and standard deviation and then it will transform the array. We don't need to change the average and standard deviation all the time. We only need that for the training data. If you only use transform method then the model will work as expected.
By the way thanx for the video, it helped me to understand how to approach machine learning problems :)

shoaibsh

why you use label encoder for embarked column? actually it contains nominal variables not categorical right?

MEGAMINDLIVE

This was very very very very very helpful

Olúwátósinmilé

How come at min 38:30 for Survival Rate by Sex, Age, Class is Second Class Female Child Does that mean there were no second-class females or just that all of them survived?

wolfmusic

Do we have to fit the test data? It does not make sense!

aayushpaudel

This video is very helpful to me. Thank u sir

fathimashemeema

can u please share the link of dataset you have used

Mca-cjul

This is good because I have a binary classification problem with about half entries and almost the same number of features so I will use this video for sure man

zrmsraggot

what is mean dtype : int64 is that mean anything or jus information ?

abdooagwa

Thank you for the video! Do you have any documentations about that to share? Thanks again

worldcitizen

Thanks for video. Content and Delivery is very simple and clear.

kaveenraajan

So helpful! How do I print the number of passengers instead of making the countplot?

aces

from where you have downloaded the dataset??? reply as soon as possible

shreyanshdubey

First of all, thank you, excellent content!!
At 29:00 you said that 96, 8% of females at first class survived... How can I know which number the program will select, it could be considering 1 (dead) rather then 0 (survived)? How can I know which number the program will take into account in the pivot_table function?

gabrielferreira

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