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A Streamlit application to play with machine learning models directly from the browser
python machine-learning scikit-learn sklearn webapp heroku-deployment machine-learning-tutorials playgound classification-algorithms streamlit
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
python machine-learning hmm time-series dtw multivariate knn dynamic-time-warping sequence-classification hidden-markov-models sequential-patterns time-series-classification multivariate-timeseries variable-length classification-algorithms k-nearest-neighbor-classifier
This is the repository for all the resources (code, notes and guides) used during the ML Study Jams 2022-23 program hosted at GDSC-TIU. (Maintainer: Aryan Pareek @diffrxction)
python machine-learning deep-learning regression kaggle hacktoberfest hacktoberfest-starter classification-algorithms hacktoberfest2022
Cyber-attack classification in the network traffic database using NSL-KDD dataset
attack machine-learning-algorithms classification-algorithm kdd99 nsl-kdd kdd-dataset ensemble-machine-learning catboost-model classification-algorithms cyber-attacks-analytics cyber-attack-classification network-traffic-database u2r r2l
CSDLO6021: Machine Learning [ML] | TE Semester VI | Computer Engineering
computer-science engineering machine-learning machine-learning-algorithms computer-engineering neural-networks dimensionality-reduction decision-trees textbooks principal-component-analysis regression-analysis clustering-analysis university-of-mumbai optimization-techniques classification-algorithms ameythakur amey megasatish ameyarc amey-thakur
🟣 Classification Algorithms interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
data-science machine-learning interview-practice coding-interviews interview-preparation technical-interview-questions machine-learning-interview data-science-interview classification-algorithms data-scientist-interview software-engineer-interview data-science-interview-questions coding-interview-questions machine-learning-interview-questions ai-interview-questions machine-learning-and-data-science classification-algorithms-interview-questions classification-algorithms-questions classification-algorithms-tech-interview
Machine learning library for classification tasks
deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms
Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.
nlp text-classification sentence-classification doc2vec codalab spacy-nlp classification-algorithms semeval-2020 deft-eval deft-corpus
machine-learning jupyter-notebook eeg feature-extraction pca brain-activity chb-mit seizure-detection classification-algorithms
A Python-powered ML toolkit featuring a Decision Tree builder and Naive Bayes classifier implemented from scratch. Supports attribute selection using Entropy (ID3) and Gini Index (CART), with custom metric calculations, recursive tree construction, and Graphviz-based visualization for decision boundaries and probabilistic classification.
entropy naive-bayes-classifier density-based-clustering dendrogram kmeans-clustering-algorithm gini-index classification-algorithms db-scan decission-tree
Machine learning library for classification tasks
deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms
实现对信贷数据的数据预处理，数据分析。之后利用多种分类算法对公司是否违约进行预测。Realize the data preprocessing and data analysis of credit data. Then, it uses a variety of classification algorithms to predict whether the company defaults.
This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨
python data-science machine-learning data-visualization data-analysis data-preprocessing fraud-detection anamoly-detection classification-algorithms credit-card-transactions
Streamlit application to classify cancer as malignant or benign.
python heroku random-forest svm jupyter-notebook pandas seaborn naive-bayes-classifier data-analysis logistic-regression matplotlib decision-trees knn breast-cancer-classification breast-cancer-detection classification-algorithms streamlit
A detailed look from seven different classification algorithms.
Glaucoma and Non-Glaucoma classification using ML/Dl and ensemble approaches using Image Feature Extraction Using HOG (Histogram of Gradient)
Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.
encoding data-science pca outliers dimensionality-reduction feature-engineering feature-scaling smote fraud-detection max-pooling nerual-network correlation-analysis kears label-encoding detection-model standardscaler classification-algorithms fraudulent-transactions tsne-visualization non-fraudulent-transactions
8 Classification Algorithms in Machine Learning with Python using the Early stage diabetes risk prediction dataset
An exercise repository for classification with iris dataset
python machine-learning sklearn machine-learning-algorithms python3 supervised-learning classification python-3 tpot practice-project practice-programming sklearn-library machinelearning-python classification-algorithms
Code for the reproduction of Class-wise Shapley paper from Schoch, Xu, Ji [2022].
machine-learning shapley-value classification-algorithms paper-reproduction data-valuation transferlab tmlr-2024
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