搜索资源列表
LSTM_learn-master
- 采用LSTM算法用python语言实现的信号时间序列预测，可预测信号的占用度(The LSTM algorithm is used to predict the signal time series in python language)
01决策树分类问题：预测销量高低
- 用python决策树分类问题：预测销量量的高低问题(Decision tree classification problem using Python: forecasting the volume of sales)
Time_Series_Analysis
- ARIMA算法的Python实现，预测时间序列数据。 附两个数据： AirPassengers UK Traffic flow(The Python implementation of the ARIMA algorithm predicts the time series data. Two data are attached. AirPassengers UK Traffic flow)
python神经网络求解农产品需求预测
- 使用BP神经网络预测农产品的需求，论文在知网上应该就一篇。(Using neural network to predict the demand of agricultural products)
Titanic
- 转自博客，整理了kaggle中入门级数据处理的竞赛Titanic的预测(Translated from the blog, collated Titanic's predictions for the Kaggle entry-level data processing contest)
moco
- 语音识别领域的经典论文实现，提供一个可训练的数学模型以预测语音特征(provide a s2s model for speech synthesis and network prediction with python and, e2e solution for production of google)
untitled0.py
- 简单测试最短路径到最长路径的排序计算，可以借鉴到链路预测算法上去。(It is about the complex network and the link prediction, download by yourself. share and free)
python机器学习预测分析核心算法
- python机器学习预测分析核心算法的例程(Python machine learning prediction and analysis of core algorithm routines)
KS_扰动_后向差分数值解
- 用python求解偏微分方程KS方程，用于混沌系统预测(solve PDE by python and use the data to predict chaotic)
Python时间序列分析源代码
- 资源‘Python时间序列分析源代码’，是学习时间序列分析的实战代码；系统解释核心程序版本是python3.7.4,管理环境是Anaconda3,这个Project是在IDE开发环境PyCharm2019.1.1(Professional Editon)中建立的，经debug后完全正常运行，运行结果包括时间序列分析预测的7种方法。