This portfolio contains exploratory data analysis of different datasets from Kaggle or any other open source datasets.
Machine learning algorithms were used as well for predictions.
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Heart failure dataset: Exploratory Data Analysis and heart failure prediction
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Maternal-Health-Risk:
- Exploratory Data Analysis
- Used PCA visualization with Python Plotly
- Predicted Health risk using ML Algorithms
- Achieved 94% Maternal Risk Prediction Accuracy with Random Forest Algorithm
- Facebook-status-clustering:
- Cluster facebook status from Pycaret dataset using KMeans
- Did some data preprocessing like converting categorical data using One-Hot-Encoding and dropping columns not required
- Used Plotly to interactively visualize the clusters
- Spotify top 50 US based featured playlist's track audio and popularity analysis (total 801 tracks) (ongoing)