Heart Disease Prediction using Machine Learning | Machine Learning Projects in python | Project #2

In this Video, we have developed a machine learning model in python for predicting heart disease. We have properly explained all the features of the heart disease dataset used for building the machine learning model. In this project we have followed the following steps with proper explanation:
1. Data description
2. Importing Libraries & setting up the environment
3. Loading dataset
4. Data Cleaning & Preprocessing
5. Exploratory Data Analysis
6. Outlier Detection & Removal
7. Training & Test Split
8. Cross-Validation
9. Model Building
10. Model evaluation & comparison
11. Feature Selection
12. Model Evaluation
13. Conclusion

[@moymaya]

I have hardly seen any project this extensive. It is nicely explained and it really helped me in understanding lot of concepts. Thank you Sid

[@subhashmadhugiri517]

Nice and comprehensive coverage of all steps..look forward to get similar presentation for cnn application end to end atleast two different cases..

[@mrinalmadhav8119]

amazing , i will add this in my resume.

[@drkarstenschmidt]

Intima-media thickness of the carotid artery (CIMT) and its increase is associated with several cardiovascular risk factors and manifest cardiovascular diseases. CIMT is suggested to be an important biomarker of subclinical atherosclerosis. This parameter should be included in your model.

[@aasifahmed23]

Good work, keep going

[@NeeRaja_Sweet_Home]

Thanks for the wonderful explanation!!! Nice end to end intuition very useful and your blog also looks nice.

[@WisdomML]

Thanks @Rajesh B

[@RoyalRealReview]

@@WisdomML Sir plz resolve my confusion 🙏. As I want to publish the research paper in the same i.e. Heart disease prediction using machine learning but the problem is that already using these models papers have been published so how mine will differentiate from others. Hope you will resolve my doubt as soon as possible. Thanks in advance ☺

[@RoyalRealReview]

@@WisdomML Never ever I've seen such a complete video on any problem. You are doing an awesome job.👌

[@Machine_Mantra]

Good PPT. Thanks for sharing

[@BANKINGSUTRA]

Nice explanation.

[@sameermudbhari69]

wonderful presentation...thank you for the tutorial

[@WisdomML]

Thanks for liking the video

[@RoyalRealReview]

@@WisdomML sir in my dataset I have 4 values of chest_pain_type that are 0,1,2,3. So can I assign 0 to typical angina irrespective of assigning 1 to typical angina? I don't have value 4 for chest_pain_type in my dataset.Plz do reply sir 🙏

[@yaser-mamdouh]

Nice to complete all the video and get the same results, But I ask to save the best model of them HOW??????? and What if I need to make a simple prediction system like a python program to load the model and get the patient's feature data by using input() method, how to handle this process, and data processing to predict the new patient's data?

[@nimraazmat6645]

Can you please make a video about all the models evaluation and cross validation. I am a beginner and learning on my own about machine learning and these concepts are confusing at this stage. This video helped a lot to learn about the ML.

[@ekaagustina9010]

can u please share the kaggle link of dataset using in this project sir?

[@gamhanshamdev3043]

Hey,can i know what model you have used in your project and what is the motive of using different feature selections method after cross validation approach.

[@aishadaike6219]

Please what algorithms you use

[@ironman2.026]

How will we take patients data and put it in this?? And how will this system predict the heart attack risk for the patients???

[@vaishnavirathod5307]

Hello sir, please tell which software is used to run the project

[@sunanaanand7379]

Sir, Would you like to share me the article that you have implement.

[@saiprasadambrale5369]

Can we have a video on malaria detection using machine learning

[@Salmani3565]

can u pls share the dataset link

[@shivangidiwan7175]

can you pls share the combined dataset? is there any kaggle link for the same? thank you in advance.

[@WisdomML]

ieee-dataport.org/open-access/heart-disease-dataset-comprehensive

[@RoyalRealReview]

@@WisdomML sir in my dataset I have 4 values of chest_pain_type that are 0,1,2,3. So can I assign 0 to typical angina irrespective of assigning 1 to typical angina? I don't have value 4 for chest_pain_type in my dataset.Plz do reply sir 🙏

[@ashwinmahire7285]

can you give this project ready made please

[@duaaabid3158]

sir plz can u give the dataset in csv file ? plzz its a humble request

[@WisdomML]

its available in this git repo: github.com/sid321axn/Heart-Disease-Prediction-Using-Machine-Learning-Ensemble

[@reddygariabbainagendra4726]

Bro I want source code bro can u hlp me nro