Titanic Dataset Analysis (Classification) | Kaggle | Machine Learning | Python

⭐️ Content Description ⭐️
In this video, I have explained about titanic survival prediction dataset analysis using python. This is one of the basic kaggle project every beginner should try. I have done various techniques to explore the data and submitted the results to kaggle. This will be a end to end project for any competition.
Text-based Tutorial: www.hackersrealm.net/post/tit...
GitHub Code Repo: bit.ly/mlcoderepo
Dataset link: www.kaggle.com/c/titanic/data
🌐 Website: www.hackersrealm.net
🔔 Subscribe: bit.ly/hackersrealm
🗓️ 1:1 Consultation with Me: calendly.com/hackersrealm/con...
📷 Instagram: / aswintechguy
🔣 Linkedin: / aswintechguy
🎯 GitHub: github.com/aswintechguy
🎬 Share: • Titanic Dataset Analys...
⚡️ Data Structures & Algorithms tutorial playlist: bit.ly/dsatutorial
😎 Hackerrank problem solving solutions playlist: bit.ly/hackerrankplaylist
🤖 ML projects tutorial playlist: bit.ly/mlprojectsplaylist
🐍 Python tutorial playlist: bit.ly/python3playlist
💻 Machine learning concepts playlist: bit.ly/mlconcepts
✍🏼 NLP concepts playlist: bit.ly/nlpconcepts
🕸️ Web scraping tutorial playlist: bit.ly/webscrapingplaylist
Make a small donation to support the channel 🙏🙏🙏:-
🆙 UPI ID: hackersrealm@apl
💲 PayPal: paypal.me/hackersrealm
🕒 Timeline
00:00 Introduction to Titanic Dataset Analysis
05:47 Import Modules
07:00 Loading the Titanic Dataset
11:05 Exploratory Data Analysis
25:43 Data Preprocessing
37:27 Correlation Matrix of Titanic Data
43:15 Drop unnecessary columns
45:00 Label Encoding
47:06 Train Test Split
50:30 Model Training
01:01:46 Get Predictions from Test Data
01:04:51 Submit Predictions to Kaggle
01:11:51 End
#titanicdatasetanalysis #machinelearning #hackersrealm #classification #titanic #deeplearning #datascience #model #project #artificialintelligence #beginner #analysis #python #tutorial #aswin #ai #dataanalytics #data #bigdata #programming #datascientist #technology #coding #datavisualization #computerscience #pythonprogramming #analytics #tech #dataanalysis #iot #programmer #statistics #developer #ml #business #innovation #coder #dataanalyst

[@anamaposadar]

I really liked your explanation, everything was so clear!

[@HackersRealm]

Glad you liked it!!!😄

[@syedhaideralizaidi1828]

waiting !!!

[@nidhik5270]

Thankyou so much..... It was so helpful ❤️

[@HackersRealm]

Happy to h3lp!!!

[@Johan_S4]

55:56 i'm wondering why you delete the cv=5 on cross_val_score ? is it no longer neccesary? as few second before that it still exist. btw great video, i'm learning much from it, and oddly enough, when i tried your logistic regression it work just fine.

[@anilsailakhinana94]

waiting

[@alexnieto5036]

very good work !

[@HackersRealm]

Glad you liked it!!!

[@SaniaShaikh9202]

sns.countplot(train['Sex']) i get an error saying that it cannot convert string to float: 'male' and also during the exploratory data analysis i am only getting output graph for one value as in Axes: ylabel='count' it does not show the xlabel pls help

[@taibaarain2000]

Same happened with me in survived graph did you find any solution?

[@digitalshaji2636]

when I am using a sns for survival visual graph it returns with and a graph filled with only blue color

[@quotez4943]

Same Issus Did you understand what is the probles

[@patrick.bateman.psy1]

Yes same issue

[@Akashvardhan._]

Actually the problem is that the method he did is kind of old where it automatically detects 'X' axis to be 'Survived' column but when we try to do it now it won't work instead in the function call itself we should mention as sns.countplot(x=train['Survived']) ...('We are now manually mentioning that the X axis should be of the specified column')

[@jitendratrivedi7889]

Can you please explain why you use lower case (model x , y ) for CV whereas for LR ( model , X, y).

[@HackersRealm]

Both are in same case only, Please check!!!

[@ST-nu6ib]

How to fill NaN in age with respect to Survived column. Suppose if I want to fill age of a survived human with mean age of all survived humans, and fill age of a not survived human with age of not survived human, then how to do it?

[@HackersRealm]

you can use groupby function or pivot table function to get the mean of the category. you can check bigmart sales or black friday sales project videos for the methods

[@jerryvictor3583]

Thank you for this. Pls I have a little challenge, when I get to LogisticRegression, I get error, it says ' X is not defined'.... Pls how do I solve this?

[@HackersRealm]

try to run the cells in order to avoid any errors!!!

[@tooba5611]

My 'Age' data is float too but when I am trying to solve it it cant execute. The error shows- TypeError: unsupported operand type(s) for +: 'float' and 'method' Can anyone help?

[@HackersRealm]

what method you are trying to use on age?

[@shubhankarsharma4094]

Fare null should be replaced with median

[@abhishekprakash9803]

ks stats kab perfrom krte h

[@adithyabm9182]

why are you dropping the survived column in the last

[@HackersRealm]

before the model training part?

[@tejaswinimunumudi8440]

Sir I am getting values of passengers in 800 's sir what can I do now

[@HackersRealm]

I didn't get you, value of passengers means?

[@daniecookie505]

im getting an error i dont understand why TypeError: Singleton array array(891) cannot be considered a valid collection.

[@HackersRealm]

Are you using the same code?

[@patrick.bateman.psy1]

When I run the sns.countplot(train['Survived']) then only the blue graph is showing with value of 800.... What's the solution of this or this is the bug from the dataset itself..

[@HackersRealm]

Could you double check the column values whether it has 2 classes

[@patrick.bateman.psy1]

No it has only 1 class

[@HackersRealm]

@@patrick.bateman.psy1 it should be 2 classes, survived and not survived, I think some issue in the dataset

[@patrick.bateman.psy1]

@@HackersRealm Yes it's the issue with the dataset, Is anyway to fix it)

[@HackersRealm]

@@patrick.bateman.psy1 try the dataset in my github or use the kaggle link to download it. You could also try from other websites as well

[@Sumer-zt5cu]

Input Nan Contains NaN ... How to deal with it brother plzz explain

[@HackersRealm]

drop the null values or replace the null values with some stats or negatives

[@HackersRealm]

you can also check this video kzbin.info/www/bejne/fHa0oZedpK2Spq8