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Predictive models for breast cancer classification using machine learning algorithms. Explore various classification techniques to identify malignant and benign tumors from medical imaging data.
The project focuses on identifying the speaker accent to be US or not US using binary classification. This project uses various Machine Learning classification methods like Logistic Regression, KNN, Binary Tree and Random Forests. Using the listed methods, evaluated the performance on the baseline models. To increase the accuracy and to prevent …
Diabetes Prediction Project: Decision Tree Classifier implementation using Pima dataset. Explore data, visualizations, and contribute to enhance accuracy and interpretability. Contributions welcome!
I tried to implemented two Data Mining theories in Object Detection Problem. One of them is Object Recognition with descriptive statistical feature, and the other one is with Decision Tree.
A Diabetes prediction Machine learning model using diagnostic data and algorithms such as logistic regression and decision trees. Evaluate their performance and deploy the top-performing model for accurate diabetes prediction.