Projects in Awesome Lists tagged with xgboost-algorithm

https://github.com/susanli2016/machine-learning-with-python

Python code for common Machine Learning Algorithms

decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm

Last synced: 30 Sep 2024

https://github.com/susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm

Last synced: 01 Aug 2024

https://github.com/jinlow/forust

A lightweight gradient boosted decision tree package.

ai machine-learning pyo3 python rust xgboost xgboost-algorithm

Last synced: 02 Aug 2024

https://github.com/eswar3/Zillow-prediction-models

Machine Learning Project using Kaggle dataset

eda machine-learning numpy parameter-tuning scikit-learn scikitlearn-machine-learning xgboost-algorithm

Last synced: 31 Jul 2024

https://github.com/kush1912/fake-news-detection

Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.

classification-algorithm fake guardian ipynb logistic-regression machine-learning-algorithms nyt random-forest scrap-data svm webscraping word2vec-model xgboost-algorithm

Last synced: 27 Sep 2024

https://github.com/harsha-vardhan-tangudu/machine-learning-intrusion-detection-system

ML project based on intrusion detection system trained dataset

bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm

Last synced: 27 Sep 2024

https://github.com/trep48/crop-prediction

Predicting crop using machine learning with Random Forest, SVM, Decision Tree, Gradient Boosting, and KNN algorithms.

anaconda anaconda-environment colab-notebook colaboratory crop croprecommendations decision-tree-classifier ipynb ipython-notebook jupyter-notebook jupyter-notebooks knn-algorithm machine-learning python python3 random-forest-classifier svm xgboost-algorithm

Last synced: 27 Sep 2024