House sale price prediction using Linear Regression
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Updated
Jun 13, 2024 - Jupyter Notebook
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underfitting-and-overfitting
Here are 4 public repositories matching this topic...
A Machine Learning project for Forest Cover Type Classification using Decision Tree, Random Forest, and XGBoost with hyperparameter tuning to achieve high predictive accuracy.
decision-trees hyperparameter-tuning multiclass-classification random-forest-classifier xgboost-classifier underfitting-and-overfitting
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Sep 16, 2025 - Jupyter Notebook
A machine learning model that predicts whether a loan application will be approved or rejected using Logistic Regression and Decision Tree classifiers.
logistic-regression confusion-matrix decision-tree-classifier binaryclassification accuracy-analysis underfitting-and-overfitting
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Sep 16, 2025 - Jupyter Notebook
Content: Machine Learning, KNN concept, Euclidean distance, Data preprocessing, Scaling the data, Performing train-test split, Applying KNeighbors Classifier, Predicting Y_pred based on X_test, Evaluation using Confusion Matrix, Accuracy score, Recall value & Precision, Underfitting & Overfitting, Measures to overcome Underfitting & Overfitting
machine-learning data-preprocessing precision euclidean-distance accuracy-score recall-value scaling-the-data knn-concept underfitting-and-overfitting performing-train-test-split applying-k-neighbors-classifier predicting-y-based-on-test-data evaluation-using-confusion-matrix measures-to-overcome-underfitting-and-overfitting
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Updated
May 6, 2024 - Jupyter Notebook
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