Prediction of Titanic Ship Survivor Using Machine Learning | Brief About Working of DS and ML

Prediction of Titanic Ship Survivor Using Machine Learning | Brief About Working of DS and ML

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Published on ● Video Link: https://www.youtube.com/watch?v=3PmY8VvlP1I



Duration: 19:55
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𝙑𝙞𝙙𝙚𝙤 को 𝙇𝙞𝙠𝙚 जरूर करे

Train Data Set:
https://drive.google.com/file/d/17ePLBkoAb1Zg5MB-Zk-8PvV9wIvH04A3/view?usp=sharing
Test Data Set:
https://drive.google.com/file/d/15ZZBybqg6clBfY8SxNDSzwrfX6lQiC9f/view?usp=sharing
Python LR Code (Open with google Colab or Anaconda Jupyter Notebook :
https://drive.google.com/file/d/1c9SNQXcSyxt0ItPwmcpyDXCCLdbDdk3j/view?usp=sharing

Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew.

The data has been split into two groups:

- training set (train.csv)
- test set (test.csv)

The training set should be used to build your machine learning models
The test set should be used to see how well your model performs on unseen data.
#MachineLearning #ArtifiicfalIntelligence #Kaggle #Titanic

You can also learn from the following playlists:-

1) Circuit Theory or Network Theory:-
https://www.youtube.com/playlist?list=PL63jRH5wAxoxV67IMbAWerbYkKZIMJywN

2) Transient Response and analysis:-
https://www.youtube.com/watch?v=uvy6ug7OLqI&list=PL63jRH5wAxoy2uXFsMWJG8iwyGCd0Ym8F

3) Basic Electrical Engineering:-
https://www.youtube.com/watch?v=Y5C_1KiEdBY&list=PL63jRH5wAxow9VGPscjf-hljAcmzAjmWI

4) Play with phasor Diagram:-
https://www.youtube.com/watch?v=DbUDkDFxr1g&list=PL63jRH5wAxox1nBGGNw3ezwAR28Xp1Ubu

5) Signal and System:-
https://www.youtube.com/watch?v=pJQQ5sH9-Lg&list=PL63jRH5wAxoyvUDMbcHjsVm_ptYeYai9H

6) Data Science and Machine Learning:-
https://www.youtube.com/watch?v=gb_xw9Qyk1k&list=PL63jRH5wAxowiwi_k-pkmZAyVpR0-LYIF

7) Maths:-
https://www.youtube.com/watch?v=bcTaAi8lElg&list=PL63jRH5wAxozbGTHvtnQJNTDc81JWNecG

8) General Science
https://www.youtube.com/playlist?list=PL63jRH5wAxoyr0hjy7LhI-x6b_uDT_K7G




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