Project 9. Heart Disease Prediction using Machine Learning with Python | Machine Learning Projects

. This video is about building a Heart Disease Prediction system using Machine Learning with Python. This is one of the important Machine Learning Projects.

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Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
I am on this journey to empower as many students & working professionals as possible with the knowledge of Machine Learning and Artificial Intelligence.

I am making a "Hands-on Machine Learning Course with Python" in YouTube. I'll be posting 3 videos per week: Monday Evening; Wednesday Evening; Friday Evening.

#machinelearningcourse

[goofy]

I am a beginner with Python and really like the simple way in which you have explained all the steps to perform in this project. Thank you so much for this.

[abhishekbarua]

just completed the 2 starting projects...feeling a hudge relief for better understanding...u made it so simple that every ground level can understand it...Thank you so much brother...Lots of blessings will shower on u ..Thank u for everything 😇😇😇😇😇

[midnightpurple]

This is my introduction to AI and honestly it was so easy to understand. Thank you.

[azrflourish]

Thank you especially for 'Making predictive system' part!

[miranmahmud]

Thanks. I’m a beginner, the explanation was helpful for me.

[raveenachakrapani]

Precise and clear. Thanks a lot. Very useful.

[RefreshingThoughts]

In this dataset there is an indicator for whether they have heart condition or not. A patient can develop the condition at any timeframe. How will you train the model to say what timeframe the patient had positive indication of heard disease?

[nivyaks]

This video is really helpful for me .Thank you soo much. expecting more videos like this

[dnagardhankar]

If you are getting this warning-
UserWarning: X does not have valid feature names, but Logistic Regression was fitted with feature names warnings.warn(
change X_train and Y_train to X_train.values() and Y_train.values()

[rakshitashetty]

Very well explained about each and every line of the code ❤️

[ShrutiJadhav-nz]

It was a very informative video. Easy to understand concepts. Thank u so much!!! Keep growing.

[eccentric]

If you guys facing error in last (answer part ) you can correct the logistic regression code to
# training the LogisticRegression model with Training data
model.fit(X_train.values, Y_train.values)

[joshuanketsiah]

In your earlier video discussing the prediction of diabetes, you highlighted the significance of standardizing the data before inputting it into the Machine Learning model. However, I noticed that in the training of this particular model, the standardization process was not implemented. I am interested in understanding the reason behind this oversight.

[zzzmd]

very well explained. Thank you for the great video as always..

[marutisankannanavar]

Great Session, Boosted my Confidence, Keep Going Bro.

[gayathri]

Thank You so much sir for this project video
It is very useful

[nehamaurya]

It's an amazing explanation vedio, thanks a lot😌

[chiragparmar]

Bro I like the way you're explaining everything it's just feel so easy the way you teach these things just wanted to ask you don't u think u made mistake here by predicting x pred because all I know is we need to predict y pred because that's our target variable why r u predicting x data please let me know

[manateluguabbaiinuk-mahanu]

Appreciate your work @Siddhardhan. Can you please do end-to-end projects either ML (or) DL (Starting from understanding the business case study to Deployment)?

[_pallavipriyadarshini]

@Siddhardhan Why we used logistic regression for heart disease and support vector for diabetic ....whereas both are binary classification problems?