├── .gitignore ├── 100分钟吃掉DIN深度兴趣网络.ipynb ├── 10分钟入门faiss相似向量检索.ipynb ├── 10分钟学会Pillow图像处理16式.md ├── 120分钟吃掉DIEN深度兴趣演化网络.ipynb ├── 120分钟吃掉DIEN深度兴趣演化网络.md ├── 20分钟学会DBSCAN聚类算法.md ├── 20分钟学会Linux常用命令40式.md ├── 24式加速你的Python.md ├── 30分钟vscode入门指南.ipynb ├── 30分钟吃掉Git和Github版本管理.md ├── 30分钟吃掉duckdb.ipynb ├── 30分钟吃掉prophet时间序列预测.ipynb ├── 30分钟吃掉wandb可视化模型分析.ipynb ├── 30分钟吃掉wandb可视化自动调参.ipynb ├── 30分钟学习CatBoost.md ├── 30分钟学会LightGBM.md ├── 30分钟学会PCA主成分分析.md ├── 30分钟学会SVD奇异值分解.md ├── 30分钟学会XGBoost.md ├── 30分钟学会pyechart数据可视化.ipynb ├── 30分钟学会shapely空间几何分析.md ├── 30行代码用streamlit快速构建你的机器学习应用.ipynb ├── 3小时Python入门.ipynb ├── 3小时入门numpy,pandas,matplotlib.ipynb ├── 3小时吃掉HiveSQL.md ├── 40分钟吃掉DeepFM.md ├── 60分钟吃掉DeepCross模型.md ├── 60分钟吃掉FM算法.md ├── 60分钟吃掉FiBiNET算法.md ├── 60分钟看懂HMM的基本原理.md ├── DBSCAN算法的Spark实现.ipynb ├── FireCrawl抓取网页变成Markdown.ipynb ├── Ibis统一Dataframe和SQL.ipynb ├── Linux批量执行队列任务的优雅方案.md ├── Python中保留指定位数小数用round就可以了吗.md ├── README.md ├── Xlearn深入浅出.ipynb ├── commit-to-github.ipynb ├── darts时序预测入门.ipynb ├── data ├── 30分钟看懂LightGBM的基本原理.pptx ├── Arial.ttf ├── DBSCAN2个算法参数.png ├── DBSCAN3种点的类型.png ├── DBSCAN4种点的关系.png ├── DBSCAN核心思想.png ├── DBSCAN算法步骤.png ├── DBSCAN聚类算法.pptx ├── GBDT三把飞刀对比.png ├── Git分支最佳实践说明.png ├── Git常用命令.bmp ├── HMM模型例子.png ├── HMM模型概率图.jpg ├── LightGBM&XGBoost.png ├── OrderedBT.png ├── OrderedTS.png ├── PCA主成分分析的几何解析.jpg ├── PCA主成分分析直觉理解.png ├── Python与算法之美logo.jpg ├── SVD与PCA降维.png ├── SVD公式.png ├── SVD分解与数据压缩.pdf ├── SVD分解与数据压缩.png ├── SVD分解与行降维.png ├── SVD分解形状.png ├── SVD奇异值分解.pptx ├── SimHei.ttf ├── XGBoost目标函数.png ├── boston房价数据.png ├── bst.model ├── class-relationship-diagram.png ├── dbscan_sklearn输出可视化.png ├── dbscan手工聚类.png ├── dbscan手工聚类结果.png ├── dbscan数据head.png ├── dbscan核心算法的输入.png ├── dbscan核心算法的输出.png ├── dbscan的dfcores.png ├── dbscan的dfdata.png ├── dbscan的dfpairs.png ├── dbscan输入散点图.png ├── epsg4326.png ├── gbm.model ├── git merge --no-ff.png ├── git merge 快进式.png ├── git reset --files原理.png ├── git 的 reset 原理.png ├── github是什么.jpg ├── git仓库原理.png ├── git分支最佳实践.png ├── git版本管理效果.png ├── git的cherry-pick原理.png ├── git的commit原理（1）.png ├── git的commit原理（2）.png ├── git的commit原理（3）.png ├── git的diff原理.png ├── git的merge原理.png ├── git的rebase原理.png ├── git系统原理.jpg ├── gsrplot.png ├── mercator.png ├── moon_points.csv ├── net_parameter.pkl ├── pca降维散点图可视化.png ├── pca降维曲线.png ├── pca降维示意图.png ├── simsun.ttc ├── sklearn的DBSCAN聚类结果.png ├── svd与矩阵压缩.png ├── tf准确率曲线.png ├── tf损失曲线.png ├── tf模型结果可视化.png ├── tf输入数据.png ├── torch准确率曲线.png ├── torch可视化.png ├── torch的损失曲线.png ├── torch训练数据可视化.png ├── torch训练结果可视化.png ├── xgboost候选分裂点位.png ├── xgboost假设空间.png ├── xgboost分裂增益.png ├── xgboost基模型.png ├── xgboost基模型2.png ├── xgboost正则化.png ├── xgboost特征重要性.png ├── xgboost目标函数结构.png ├── xgboost迭代曲线.png ├── ~$公众号海报设计.pptx ├── 二分类acc曲线.png ├── 二分类loss曲线.png ├── 二分类输入数据.png ├── 二分类预测数据.png ├── 互斥特征捆绑算法.png ├── 人工版本管理.png ├── 公众号海报设计.pptx ├── 基于梯度的单边采样算法.png ├── 奇异值分解.png ├── 对称树.png ├── 批量执行任务.gif ├── 折线图示范.html ├── 散点图示范.html ├── 柱形图示范.html ├── 灰色渐变.png ├── 猫咪图片.jpg ├── 猫咪图片.png ├── 猫咪图片上下翻转.png ├── 猫咪图片合并通道.png ├── 猫咪图片左右翻转.png ├── 猫咪图片截取.png ├── 猫咪图片提取边缘.png ├── 猫咪图片旋转.png ├── 猫咪图片添加文字.png ├── 猫咪图片添加椭圆.png ├── 猫咪图片添加直线.png ├── 猫咪图片灰度图.png ├── 猫咪图片粘贴图片.png ├── 猫咪图片绘制矩形.png ├── 猫咪图片缩小.png ├── 猫咪图片蓝色通道.png ├── 猫咪图片通道.png ├── 猫咪图片高斯模糊.png ├── 直方图加速.png ├── 直方图算法.png ├── 第t棵树学什么.png ├── 第t棵树学什么2.png ├── 简单形状.png ├── 算法美食屋二维码.jpg ├── 算法美食屋二维码.png ├── 维特比算法动态图解.gif └── 预排序算法.png ├── ipywidgets深入浅出.ipynb ├── kaggle-play-stablediffusion.ipynb ├── matplotlib支持中文显示的两种方法.md ├── onnx转换和推理.ipynb ├── pathlib深入浅出.ipynb ├── pytorch_lightning深入浅出.ipynb ├── simpy做数学题.ipynb ├── uv一站式环境管理保姆级教程.ipynb ├── 一文读懂EM最大期望算法和GMM高斯混合模型.md ├── 一文读懂矩估计、极大似然估计和贝叶斯估计.md ├── 使用TensorFlow、PyTorch深度学习进行项目实战.md ├── 使用pytorch-lightning漂亮地进行深度学习研究.md ├── 像Keras一样优雅地使用pytorch-lightning.md ├── 刷分神器,使用Hyperopt对lightgbm自动化调参.ipynb ├── 动手学GeoPandas地理数据分析.md └── 动手学Python地理数据分析.ipynb /.gitignore: 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