딥러닝과 머신러닝을 활용한 독자 반응 기반 웹툰 데뷔작 성공 예측 모델
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Nov 17, 2020 - Python
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ada-boost
Here are 14 public repositories matching this topic...
2022 Jul, The Project Tasks of Oxford AI & ML Summer Program with Asteroid composition analysis in which I scored A with 17 ML methods.
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Feb 16, 2024 - Jupyter Notebook
machine learning algorithms implementation by PYTHON3
python machine-learning algorithm random-forest svm naive-bayes logistic-regression machinelearning perceptron implementation implement knn softmax kdtree ada-boost
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Dec 5, 2019 - Python
Classification of data set using python (scikit-learn library)
python machine-learning random-forest naive-bayes scikit-learn decision-trees k-nearest-neighbours ada-boost
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Jan 18, 2021 - Python
Churn , IT dataset , ADA Boost Classification model
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Jan 29, 2025 - Jupyter Notebook
Sampling Assignment: Download dataset, balance classes, apply ML models with different sampling techniques to evaluate performance.
data-science machine-learning random-forest classification decision-tree gradient-boosting extra-trees ada-boost pycaret sampling-techniques
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Jun 21, 2023 - Jupyter Notebook
The codes of several ML algorithms implemented by me can be found here. Data pre-processing is done and 12 ML algorithms are implemented.
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Jan 22, 2026 - Jupyter Notebook
Person Side Project Portfolio 14 - Campus Placement Prediction. Also included a few resources on side that I found helpful.
data-science machine-learning algorithms random-forest scikit-learn supervised-learning classification logistic-regression support-vector-machine jupyter-notebooks decision-tree gradient-boosting ada-boost
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Nov 18, 2022 - Jupyter Notebook
Machine Learning algorithms implemented from scratch. Different ML algorithms implemented from scratch. Namely, Multipile Linear Regression and Logistic Regression KNN and Naive Bayes Recrusive Decision Trees Bagging and Boosting (Ada Boost) Yarwosky's Algorithm and Agglomerative Hierarchical Clustering
machine-learning machine-learning-algorithms logistic-regression knn algorithms-implemented dicision-tree ada-boost yarwosky-algorithm multipile-linear-regression
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Aug 6, 2019 - Python
Aprendizaje Automático - Trabajo Práctico 2 - Ensambles y análisis exploratorio
python machine-learning random-forest scikit-learn xgboost gradient-boosting voice-analysis ada-boost
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Mar 10, 2024 - Jupyter Notebook
ML algorithms implementation only with Numpy
random-forest numpy svm naive-bayes linear-regression pandas pca logistic-regression matplotlib decision-trees knn gradient-boosting ada-boost
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Sep 14, 2021 - Python
Comparison of AdaBoost vs Gradient Boosting on imbalanced credit card fraud detection using recall-based evaluation.
python data-science machine-learning classification adaboost imbalanced-data fraud-detection gradient-boosting ml-project recall-metrics ada-boost
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Feb 3, 2026 - Jupyter Notebook
This repository contains a comprehensive case study on sentiment analysis using the IMDb dataset of movie reviews.
python data-science machine-learning natural-language-processing random-forest naive-bayes data-visualization artificial-intelligence feature-extraction nltk data-analytics classification data-analysis logistic-regression data-preprocessing feature-engineering data-cleaning hyperparameter-tuning shap ada-boost
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Jan 25, 2025 - Jupyter Notebook
Developed an ensemble ML classification model to predict U.S. visa case outcomes (Certified vs Denied) using applicant and employer attributes. Performed EDA, sampling, and model tuning (Random Forest, Gradient Boosting, XGBoost) to improve decision efficiency and identify key policy drivers like education, experience, and wage trends.
machine-learning random-forest numpy exploratory-data-analysis pandas seaborn xgboost classification matplotlib smote gradient-boosting feature-importance ensemble-methods google-colab ada-boost one-hot-encoding class-imbalance-handling recall-optimization randomized-search-cv
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Mar 31, 2026 - Jupyter Notebook
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