Classification: Heart Failure Prediction

Project Title: Classification Algorithms Comparision

Problem Statement: Detect the potential cases of heart failure.

Data Exploration and Preprocessing:

1. Conducted exploratory data analysis (EDA) to gain insights into the dataset.
2. Performed comprehensive feature engineering to enhance model performance.

Classification Algorithms:

Implemented 4 classification algorithms: 1. Decision Tree 2. Random Forest 3. KNN (K-Nearest Neighbors) 4. SVM (Support Vector Machine

Results and Conclusion:

1. Evaluated and compared the performance of each algorithm.
2. Provided actionable insights and conclusions based on predictive models.

Skills Demonstrated:

1. Data Exploration and Analysis
2. Feature Engineering
3. Implementation of Decision Tree, Random Forest, KNN, and SVM
4. Model Evaluation and Comparison

Future Scope:

1. Continuous Model Refinement
2. Incorporating Advanced Algorithms
3. Hyperparameter Tunning