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#

adaboost-algorithm

Here are 84 public repositories matching this topic...

⚡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

  • UpdatedJul 12, 2024
  • Python
MLWithPytorch

Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.

  • UpdatedAug 12, 2020
  • Python

Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.

  • UpdatedMar 23, 2021
  • Jupyter Notebook

This system uses the AdaBoost algorithm to efficiently identify and target potential customers for travel packages

  • UpdatedSep 3, 2025
  • Jupyter Notebook

A parallelised facial recognition program written from scratch in C with minimal dependencies

  • UpdatedJul 25, 2021
  • C

An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

  • UpdatedJan 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.

  • UpdatedJun 6, 2020
  • 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).

  • UpdatedOct 14, 2019
  • 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.

  • UpdatedJul 2, 2023
  • Jupyter Notebook

This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance

  • UpdatedJun 30, 2025
  • Jupyter Notebook

Employee-Absenteeism-Project-Work

  • UpdatedJun 26, 2020
  • Jupyter Notebook

Multi-class sentiment analysis with AdaBoost on 27k Kaggle tweets: TF-IDF bigrams (10k feats), stratified split, GridSearchCV—62% acc, 0.78 AUC, robust to noise/imbalance via boosting & lemmatization.

  • UpdatedSep 20, 2025
  • Jupyter Notebook

Implements the Decision Tree (CART), AdaBoost and Random Forest algorithm from scratch using NumPy.

  • UpdatedFeb 15, 2023
  • Jupyter Notebook

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