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HEARTDISEASE PREDICTION
USING
MACHINE LEARNING AND AI
WITH PYTHON
TAMANNA
201302045
ABOUT THE COMPANY
DIGNIQUE TECH LABS :-
Diginique TechLabs is one of India’s leading
organizations in the field of modern age
technologies. Our team members are well-
versed with the latest technologies and make
sure that they exploit technological trends while
designing the new courses and delivery
methods. Our trainers and mentors have
yearlong experience in their respective fields and
have received their education from top notch
universities like IITs, NITs etc.
SOFTWARE USED
JUPYTER NOTEBOOK
It is a project with goals to develop open source
software, open standards, and services for interactive
computing across multiple programming languages. It was
spun off from Ipython in 2014 by Fernando Pérez and Brian
Granger
ABOUT THE PROJECT
PREDICTING AND DIAGNOSING HEART DISEASE IS THE BIGGEST
CHALLENGE IN THE MEDICAL INDUSTRY AND RELIES ON
FACTORS SUCH AS THE PHYSICAL EXAMINATION, SYMPTOMS
AND SIGNS OF THE PATIENT.
DUE TO THE INCREASING USE OF TECHNOLOGY AND DATA
COLLECTION, WE CAN NOW PREDICT HEART DISEASE USING
MACHINE LEARNING ALGORITHMS. NOW LET’S GO FURTHER
WITH THE TASK OF HEART DISEASE PREDICTION USING
MACHINE LEARNING WITH PYTHON.
CERTIFICATE
THANK YOU
Tamanna
201302045
Btech Cse(aiml)

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heartdiseaseprediction.pptx

  • 1. HEARTDISEASE PREDICTION USING MACHINE LEARNING AND AI WITH PYTHON TAMANNA 201302045
  • 2. ABOUT THE COMPANY DIGNIQUE TECH LABS :- Diginique TechLabs is one of India’s leading organizations in the field of modern age technologies. Our team members are well- versed with the latest technologies and make sure that they exploit technological trends while designing the new courses and delivery methods. Our trainers and mentors have yearlong experience in their respective fields and have received their education from top notch universities like IITs, NITs etc.
  • 3. SOFTWARE USED JUPYTER NOTEBOOK It is a project with goals to develop open source software, open standards, and services for interactive computing across multiple programming languages. It was spun off from Ipython in 2014 by Fernando Pérez and Brian Granger
  • 4. ABOUT THE PROJECT PREDICTING AND DIAGNOSING HEART DISEASE IS THE BIGGEST CHALLENGE IN THE MEDICAL INDUSTRY AND RELIES ON FACTORS SUCH AS THE PHYSICAL EXAMINATION, SYMPTOMS AND SIGNS OF THE PATIENT. DUE TO THE INCREASING USE OF TECHNOLOGY AND DATA COLLECTION, WE CAN NOW PREDICT HEART DISEASE USING MACHINE LEARNING ALGORITHMS. NOW LET’S GO FURTHER WITH THE TASK OF HEART DISEASE PREDICTION USING MACHINE LEARNING WITH PYTHON.