搜索资源列表
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
deeplearningbook-chinese-master
- Python机器学习代码示例，包含了全部的书本的代码示例，可以通过jupyter notebook直接运行文件显示结果(Python Machine Learning)
11
- yongyudakaixuexikuangjibkjaldbndkjbasn,das(jupyter notebook gkahbk dbaiuhdkj haskljnkajf fasf sd)
Python_for_Data_Science-master
- github的源码，大量jupyter文件方便学习和动手实践。很好的数据科学入门教程(GitHub source code, a large number of jupyter files to facilitate learning and hands-on practice. A good introductory course in Data Science)
House Price Regression
- 经典的房价预测问题，用jupyter notebook编写的简单实现。使用XGBoost模块进行学习预测。(The classic price prediction problem, a simple implementation written in jupyter notebook. The XGBoost module is used for learning prediction.)
deep-learning-with-python-notebooks-master
- Deep Learning With Python 原书配套代码。 包括所有常见的深度学习模型 注释丰富，代码规范 使用流行的keras库实现，jupyter notebook格式(Deep Learning With Python Original book matching code. Including all the common deep learning models Rich annotation, code s
Mysummarize_reviews
- 用tensorflow编写的基于seq2seq的文本摘要代码，请用jupyter打开(Seq2seq based text summary code written in tensorflow, please open it with jupyter)
edge_demo
- Edge detection demos with specific numerator results in jupyter
jupyter.tar
- jupyter instrution
TensorFlow
- TensorFlow入门资料，源码加笔记(TensorFlow introductory information, source code and notes)
PyData-D3-in-Jupyter
- 在jupyter notebook中嵌入D3.js可视化(Embedding D3.js visualization in jupyter notebook)
subway_prediction_notebook
- jupyter notebook of subway prediction kaggle
最小二乘法-梯度下降法-牛顿法
- 用Python3在jupyter notebook实现最小二乘法，梯度下降法和牛顿法(Using Python3 to realize least square method, gradient descent method and Newton method in jupyter notebook)
Tensorflow CNN
- 卷积神经网络识别手写数字，放在jupyter直接跑，99%识别率，已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
fault_synth_batch
- 合成地震断层数据，python程序语言，可以直接在jupyter notebook运行(Synthetic seismic tomographic data, python programming language, can be run directly on jupyter notebook)
1_Neural Network & DeepLearning
- 吴恩达深度学习微专业课程一配套作业，jupyter notebook格式的(Wu enda deep learning micro professional course a matching homework)
LSTM-单变量多步
- 用jupyter notebook 实现深度学习LSTM单变量多步的时间序列预测(Using jupyter notebook to realize multi-step time series prediction of deep learning LSTM)
midi_trans
- jupyter解析midi，并可视化，亲测可用代码，想了解midi解析实例的朋友可以看看(Jupyter parses MIDI and visualizes it)