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bayesian-model-based-optimization

使用Hyperopt实现基于贝叶斯模型的优化的基本实现。

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bpso_breastcancer

breast cancer feature selection using binary particle swarm optimization

cluster-analysis

K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

clustering-gmm-em

用高斯混合模型进行聚类，包含在faithful和iris数据集上的实验，详细注释。

deep_ctr

ga-svn

Breast Cancer detection using Hybrid of Genetic Algorithm and SVM

gaussianmixture_emalgorithm

A simple example of the Expectation Maximization (EM) algorithm applied to a gaussian mixture model

gbdt-lr

gmm-em-python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

hands-on-ensemble-learning-with-python

Hands-On Ensemble Learning with Python, published by packt publishing

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

landslide-sensitivity-mapping

Analysis of landslide susceptibility using convolution neural network

landslide-susceptibility

Landslide susceptibility mapping by deep learning and slope unit

landslide-susceptibility-mapping

Landslide susceptibility mapping using Machine Learning - A Danish case study

learn-sql

Exercises for beginners to learn SQL

learning_to_rank

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

lmt

lsat

Landslide Susceptibility Assesment Tool

lstm-xgboost

LSTM-XGBoost Time Series Forecasting

meta_lsm

Landslide Susceptibility Mapping by a Meta-learning Way

mi_naive_bayesian

基于互信息熵的朴素贝叶斯分类，数据集选择英文的恶意邮件，首先通过tf-idf对文本特征化，后通过高斯分布对连续特征概率进行估计，使用互信息进行加权，最终正确率为94%，想对比原始朴素贝叶斯分类提高4%左右

ml_in_ls_studies

:sparkles::bar_chart: :chart_with_upwards_trend::sparkles: Landslide Susceptibility Mapping in Mila Basin, Algeria

mlproject

my-projects

net_for_cryptocurrency

采用神经网络来预测加密货币涨跌，同时采用贝叶斯优化方法调整超参数

optimization_algorithm

群体智能优化算法

pso-feature-selection

Emotion Recognition using PSO and SVM

pso-fs

Wrapper Based feature selection using Particle Swarm Optimization

pso-svm-algorithm

Implementation of PSO Algorithm to Optimize SVM