Pinned Repositories
adult-census-income
成人收入普查预测，该数据集属于非平衡数据集，需要用ROC评价性能，精度达89.7%
boston-house-prices
对波士顿房价进行预测，是一个回归问题，用到超参数调优，学习曲线，R2作为性能评价。
Human_Activity_Recognition
人类行为预测，数据维度高，需要进行特征选择后建模，建模精度高达97.9%
Interview
Interview = 简历指南 + LeetCode + Kaggle
iris
机器学习的入门级经典数据集iris,多分类问题，对数据进行了归一化，编码，数据集划分等预处理操作，调用各模型，观看效果。
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Jinnan
天池：津南数字制造算法挑战赛——赛场一：原料企业工艺优化 初赛17/2682（前1%） 复赛31名 Drop队代码
loan_prediction
贷款预测，是一个二分类问题，模型精度83.2%
opencv
Open Source Computer Vision Library
python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
ykchasingwind's Repositories
ykchasingwind/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
ykchasingwind/Competitions
ykchasingwind/gitskills
ykchasingwind/learngit
ykchasingwind/Jinnan
天池：津南数字制造算法挑战赛——赛场一：原料企业工艺优化 初赛17/2682（前1%） 复赛31名 Drop队代码
ykchasingwind/python
Show Me the Code Python version.
ykchasingwind/EM_HMM_clustering
ykchasingwind/Tianchi-jinnan
津南数字制造算法挑战赛——赛场一：原料企业工艺优化
ykchasingwind/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
ykchasingwind/my-git
Individual collecting material of learning git（有关 git 的学习资料）
ykchasingwind/DCIC-Failure-Prediction-of-Concrete-Piston-for-Concrete-Pump-Vehicles
Traditional approaches to production equipment maintenance remain mainly in corrective maintenance and routine-based maintenance. Corrective maintenance, which is no fail no repair, implies unscheduled downtime of equipment, severe security risk and unacceptable economic loss, while routine or time-based maintenance is time consuming and costly. By data analysis and modeling, predictive maintenance forecasts the residual life or possible failure of key components, and schedules maintenance accordingly，in order to avoid unscheduled downtime and to save cost.
ykchasingwind/auto_ml
Automated machine learning for analytics & production
ykchasingwind/IntelligentMachine
天池工业AI大赛-智能制造质量预测，排名89/2539
ykchasingwind/Easy_HMM
A easy HMM program written with Python, including the full codes of training, prediction and decoding.
ykchasingwind/industrial-ai
ykchasingwind/Self-Organizing-Maps-using-KNN
High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors
ykchasingwind/Machine-Learning-SPC
Machine Learning & SPC Application with Python for Industrial Manufacturing Lines
ykchasingwind/BaiduImageSpider
百度图片爬虫，基于python3
ykchasingwind/Multilabel-timeseries-classification-with-LSTM
Multi label time series classification with LSTM