AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Stars: ✭ 32,316 (+476.97%)
Mutual labels: svm, regression, logistic, adaboost
ml经典机器学习算法的极简实现
Stars: ✭ 130 (-97.68%)
Mutual labels: svm, adaboost, knn, decision-tree
EvoTrees.jlBoosted trees in Julia
Stars: ✭ 108 (-98.07%)
Mutual labels: regression, logistic, decision-tree
LIBSVM.jlLIBSVM bindings for Julia
Stars: ✭ 74 (-98.68%)
Mutual labels: svm, regression
Tiny mlnumpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
Stars: ✭ 129 (-97.7%)
Mutual labels: svm, regression
Handwritten-Digits-Classification-Using-KNN-Multiclass Perceptron-SVM🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
Stars: ✭ 42 (-99.25%)
Mutual labels: svm, knn
Fall-Detection-DatasetFUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.
Stars: ✭ 16 (-99.71%)
Mutual labels: svm, knn
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (-99.29%)
Mutual labels: svm, decision-tree
Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Stars: ✭ 28 (-99.5%)
Mutual labels: svm, knn
Fuku MlSimple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (-95%)
Mutual labels: svm, regression
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (-99.46%)
Mutual labels: svm, decision-tree
decision-trees-for-mlBuilding Decision Trees From Scratch In Python
Stars: ✭ 61 (-98.91%)
Mutual labels: adaboost, decision-tree
MachineLearning机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
Stars: ✭ 23 (-99.59%)
Mutual labels: svm, knn
NIDS-Intrusion-DetectionSimple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Stars: ✭ 45 (-99.2%)
Mutual labels: svm, knn
