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Updated
Sep 5, 2022 - Jupyter Notebook
#
jaccard-score
Here are 5 public repositories matching this topic...
numpy
sklearn
pandas
python3
model-selection
scipy
jupyterlab
matplotlib
confusion-matrix
pylab
itertools
f1-score
jaccard-score
This repository includes python code to check various Machine learning classification algorithms like KNN, Decision Tree, SVM and Logistic regression. It compares accuracy of different classification algorithms with jaccard_score, F1_score and log_loss.
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Updated
Oct 20, 2020 - Jupyter Notebook
numpy
scikit-learn
sklearn
pandas
python3
logistic-regression
decision-trees
support-vector-machines
knearest-neighbor-algorithm
itertools
ibm-watson
f1-score
matplotlib-pyplot
jaccard-score
log-loss
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Updated
Sep 13, 2022 - Jupyter Notebook
Predicting if Customers will Default on Loans Using ML Classification Algorithms
python
numpy
scikit-learn
pandas
scipy
logistic-regression
matplotlib
decision-trees
jupyter-notebooks
knn
evaluation-metrics
svm-classifier
accuracy-score
jaccard-score
log-loss-score-metric
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Updated
Dec 22, 2022 - Jupyter Notebook
Implemented various spellcheck techniques like cosine similarity, jaccard similarity and levenshtein distance. Open to any further contributions.
levenshtein-distance
matplotlib
cosine-similarity
ngrams
jaccard-similarity
cosine-distance
cosine
autocorrect
jaccard-distance
levenshtein-algorithm
levenshtein-string-distance
jaccard-index
cosine-similarity-scores
jaccard-score
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Updated
Jun 11, 2024 - Jupyter Notebook
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