Benchmarking Project · Jupyter Notebook
Machine-Learning-Capstone-Project
Machine Learning capstone project implementing complete end-to-end pipelines for Regression, Classification, and Clustering, including data preprocessing, EDA, feature engineering, model training, evaluation, hyperparameter tuning, and visualization using Python and scikit-learn.
What it is
This repository is a machine learning capstone project that benchmarks 10 regression and 10 classification algorithms on real-world datasets, performs clustering analysis, and provides a deployable Streamlit application for term deposit prediction.
Where it counts
- Machine Learning90%
- Data Science80%
- MLOps30%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
Whole board- 42bf16-4-3-overshoot-ratio-investigationTraining Experiment · Python55.5ImplementationRickMachine Learning
- 43, shared rankASTROTraining Experiment · Python55.3ImplementationPop AlexandruMachine Learning
- 43, shared rankMachine-Learning-Capstone-ProjectBenchmarking Project · Jupyter Notebook55.3ImplementationNe-RanMachine Learning
- 45tc-livive-orgEducational Implementation · HTML54.8ImplementationJarad PeckenpaughMachine Learning
- 46, shared rankai_chat_distil_01ML Application · HTML54.3ImplementationJarad PeckenpaughMachine Learning
