⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
python machine-learning svm regression logistic python3 adaboost smo knn decision-tree navie-bayes-algorithm adaboost-algorithm
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Jul 12, 2024 - Python
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adaboost-algorithm
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Machine Learning Cheatsheet 2024
python random-forest linear-regression xgboost logistic-regression tensors decision-trees ensemble-machine-learning adaboost-algorithm
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Oct 4, 2024 - Jupyter Notebook
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm
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Dec 15, 2021 - Python
Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.
machine-learning random-forest pca image-classification t-sne lda bayes-classifier svm-classifier fourier-features knn-classification cnn-classification sift-features adaboost-algorithm
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Aug 12, 2020 - Python
Classification in TabularDataset
machine-learning deep-learning transformer classification ensemble-learning gradientboosting catboost explainable-ai adaboost-algorithm ensem tabtransformer ft-transformer periodic-embeddings piecewise-linear-encoding
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Jan 26, 2023 - Jupyter Notebook
The Complete Machine Learning Repository
machine-learning random-forest naive-bayes exploratory-data-analysis machine-learning-algorithms stanford-university feature-selection feature-extraction ensemble-learning machinelearning gradient-descent decision-trees feature-engineering support-vector-machines clustering-algorithm gradient-boosting knn-algorithm andrew-ng-machine-learning adaboost-algorithm
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Feb 28, 2025 - Jupyter Notebook
Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.
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Mar 23, 2021 - Jupyter Notebook
This system uses the AdaBoost algorithm to efficiently identify and target potential customers for travel packages
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Aug 20, 2025 - Jupyter Notebook
A parallelised facial recognition program written from scratch in C with minimal dependencies
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Jul 25, 2021 - C
For this project, I used four different classification algorithms to detect fraudulent credit card transactions.
python data-science machine-learning scikit-learn sklearn machine-learning-algorithms pandas data-visualization feature-engineering decision-tree-classifier gradient-boosting-classifier classification-algorithm gradientboostinclassifier random-forest-classifier ada-boost-classifier classification-model credit-card-fraud-detection adaboost-algorithm adaboostclassifier
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Jun 24, 2022 - Jupyter Notebook
An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.
python machine-learning jupyterlab adaboost jupyter-notebooks modular-design supervised-machine-learning vix algoritmic-trading adaboost-algorithm adaboostclassifier volatility-investing
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Jan 26, 2025 - Jupyter Notebook
Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.
python linear-regression exploratory-data-analysis machine-learning-algorithms ridge-regression grid-search lasso-regression automobile random-forest-regression adaboost-algorithm lightgbm-regressor
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Jun 6, 2020 - Jupyter Notebook
This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.
data-science machine-learning regression supervised-learning kaggle-dataset regression-algorithms price-prediction used-cars-price-prediction adaboost-algorithm
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Jul 2, 2023 - Jupyter Notebook
The homeworks related to Machine Learning university course would be saved here.
machine-learning deep-neural-networks deep-learning tensorflow machine-learning-algorithms statistical-learning pca lda decision-tree knn-classification baysian-network adaboost-algorithm
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Jul 7, 2022 - Jupyter Notebook
Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).
boost cross-validation xgboost normalization smote fraud-detection oversampling undersampling ensemble-machine-learning unbalanced-data adaboost-algorithm
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Oct 14, 2019 - Jupyter Notebook
This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance
random-forest logistic-regression decision-trees regression-models naive-bayes-algorithm svm-model classification-algorithm gradient-boosting knn-algorithm svm-kernel adaboost-algorithm mlalgorithms
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Jun 30, 2025 - Jupyter Notebook
Employee-Absenteeism-Project-Work
random-forest logistic-regression standardization adaboost guassian knn-classifier svc-svm adaboost-algorithm
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Jun 26, 2020 - Jupyter Notebook
In This Repository you can find The Explanation and The Implementation of the Most Famous Machine Learning Algorithms
python machine-learning random-forest svm linear-regression machine-learning-algorithms naive-bayes-classifier logistic-regression perceptron kmeans-clustering knn-classification decison-trees adaboost-algorithm linear-regressions
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Sep 17, 2021 - Python
Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.
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Jul 10, 2021 - Python
Implements the Decision Tree (CART), AdaBoost and Random Forest algorithm from scratch using NumPy.
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Feb 15, 2023 - Jupyter Notebook
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