GitHub topics: bernoulli-naive-bayes-classifier
virchan/predictive_modeling_workflow
This project explores the predictive modeling workflow using the Kaggle competition "Titanic - Machine Learning from Disaster." It emphasizes key stages like data analysis and model evaluation, aiming to identify the optimal model. Through a real-world approach, we enhance our understanding of the workflow and emphasize rigorous model evaluation.
Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Related Keywords
adaboost-classifier
1
bernoulli-naive-bayes-classifier
1
confusion-matrix
1
data-preparation
1
data-preprocessing
1
decision-tree-classifier
1
dummy-classifier
1
feedforward-neural-network
1
gaussian-naive-bayes-classifier
1
hypothesis-testing
1
kaggle-competition
1
logistic-regression
1
model-evaluation-and-selection
1
model-training
1
predictive-modeling
1
random-forest-classifier
1
support-vector-classifier
1
titanic-survival-prediction
1