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logistic-regression
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25 search results found
Ml
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153
经典机器学习算法的极简实现
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Visualml
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106
Interactive Visual Machine Learning Demos.
Ml_code
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94
A repository for recording the machine learning code
Mnist Challenge
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64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Isl Python
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50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Machine Learning Models
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26
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Info Retrieval
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25
Information Retrieval in High Dimensional Data (class deliverables)
Machine Learning Algorithm
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22
【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析
Models By Example
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19
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Study
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17
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
Ai Ml Unit 2
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16
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
Quick Data Science Experiments 2017
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14
Quick-Data-Science-Experiments
Gads4
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14
General Assembly Section 4 Class
Learn_tensorflow
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12
学习 TensorFLow 线性&逻辑回归 多层感知机 神经网络 自编码 循环神经网络 优化记录
Spark_mllib_algorithm_1.6.0
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11
Spark Mllib 1.6.0版本算法封装
Projects
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10
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Machinelearning_exercises_python_scikit Learn
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8
Python&機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き
Machine_learning_study_notes
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7
Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyanyu.github.io/.
Machine_learning
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7
Machine Learning - Coursera.org
Deep_learning_coursera Machine_learning_coursera
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6
NG深度学习机器学习Coursera视频作业
Anomaly Detection
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5
Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.
Ipsvrg
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5
A light MATLAB package for acceleration of SVRG and Katyusha X by inexact preconditioning.
Simple Linear Classification
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5
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)
Drybeans
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5
Understand and Run Naive Bayes Algorithm on Dry Beans dataset
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1-25 of 25 search results
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