-
StockPricePrediction-master
python深度学习股票分析框架,就这么多了(python learning stock)
- 2019-06-18 12:19:59下载
- 积分:1
-
knn_svm_tree
说明: 对于iris数据集的knn、svm、决策树算法分类的简单实现(Simple implementation of KNN, SVM and decision tree algorithm classification for iris dataset)
- 2020-10-13 17:06:06下载
- 积分:1
-
机器学习Python程序
覆盖了基本常用的机器学习算法。包括线性回归与分类算法;决策树;多种降维算法;优化算法;强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimization algorithm; reinforcement learning and other algorithms of Python code.)
- 2018-10-26 18:55:12下载
- 积分:1
-
dyoon
simple personal money accounting arabic language
- 2012-10-16 15:38:18下载
- 积分:1
-
advantages
关于粒子滤波的仿真程序,比较了粒子滤波和卡尔曼滤波的优缺点(On the simulation program of particle filter, the advantages and disadvantages of particle filter and Kalman filter are compared.)
- 2018-11-14 16:19:23下载
- 积分:1
-
datainputoutput
可以实现任意数据库之间的数据互导,可以实现任意数据库之间的数据互导(Can realize arbitrary data interoperability between databases guide, you can realize arbitrary data interoperability between databases I.)
- 2008-05-22 07:53:51下载
- 积分:1
-
lstm
lstm比较火热,matlab2018B已经有相应的工具箱。(LSTM is relatively hot, matlab2018B already has the corresponding toolbox.)
- 2021-01-05 10:38:54下载
- 积分:1
-
GeoQ_Spider
通过PYTHON编写的爬虫程序,爬取Geoq的人口密度数据(The population density data of Geoq is crawled by a crawler program written in PYTHON)
- 2020-06-21 12:20:02下载
- 积分:1
-
深度学习之TensorFlow:入门、原理与进阶实战
说明: 该压缩文件是《深度学习之Tensorflow的入门、原理及进阶实战》,里面讲述了如何搭建TensorFlow环境,并讲述了深度学习的一些理论基础知识,而且通过例子进行辅助,能更好的理解掌握。(The compressed file is "Introduction, Principle and Advanced Combat of Tensorflow for Deep Learning", which describes how to set up the TensorFlow environment, and describes some theoretical basic knowledge of deep learning, and assists with examples to better understand .)
- 2019-04-20 20:40:46下载
- 积分:1
-
vlynqn
A cgi counter written in VB 一个用VB编写的cgi计数器(A cgi counter written in VB A cgi counter written in VB)
- 2017-04-14 12:40:19下载
- 积分:1