Hi everyone,
I wanted to share my Heart Disease Prediction project, where I used a Kaggle dataset to predict the risk of heart disease based on health attributes like age, cholesterol, and blood pressure. I applied machine learning algorithms like decision trees, logistic regression, and random forests to classify individuals’ risk levels.
Technologies Used:
- Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Torch, D-Tale, Sweetviz
Feel free to check out the project and ask any questions. Looking forward to your feedback!
Prediction
submitted by /u/Ri_chka
[link] [comments]
r/learnpython Hi everyone, I wanted to share my Heart Disease Prediction project, where I used a Kaggle dataset to predict the risk of heart disease based on health attributes like age, cholesterol, and blood pressure. I applied machine learning algorithms like decision trees, logistic regression, and random forests to classify individuals’ risk levels. Technologies Used: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Torch, D-Tale, Sweetviz Feel free to check out the project and ask any questions. Looking forward to your feedback! Prediction submitted by /u/Ri_chka [link] [comments]
Hi everyone,
I wanted to share my Heart Disease Prediction project, where I used a Kaggle dataset to predict the risk of heart disease based on health attributes like age, cholesterol, and blood pressure. I applied machine learning algorithms like decision trees, logistic regression, and random forests to classify individuals’ risk levels.
Technologies Used:
- Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Torch, D-Tale, Sweetviz
Feel free to check out the project and ask any questions. Looking forward to your feedback!
Prediction
submitted by /u/Ri_chka
[link] [comments]