kaggle菜市场菜鸟-优快云博客

原创 Building Your Model-Exercise

【代码】Building Your Model-Exercise。

2024-07-26 22:37:16 199

原创 Basic Data Exploration-Exercise

【代码】Basic Data Exploration-Exercise。

2024-07-25 20:56:35 909

原创 4 Types of Kaggle Competitions

These are comprehensive Machine Learning challenges posed by difficult, often business-oriented predictive problems.For example,1⃣️Using customer's history of buying insurance to predict the price they are more likely to accept2⃣️Predicting the presence an

2024-07-25 00:14:06 933

原创 Deep Neural Networks

Like this:𝑚𝑎𝑥w*𝑥。

2024-06-12 00:23:08 831

原创 (Mac)Download Kaggle datasets with API

Then a file called kaggle.json will be generated.Why pip3, cuz my version is python3.11 If the installation is successful, then the part I circled is the location of the kaggle.Moved kaggle.json to kaggle4---Start DownloadingSearch a csv file from the data

2024-06-11 21:20:22 415

原创 Deep Learning(3)

【代码】Deep Learning(3)

2024-06-10 17:36:41 378

原创 Deep Learning(2)

w：2.5b：90𝑦𝑤0𝑥0+𝑤1𝑥1+𝑤2𝑥2+𝑏。

2024-06-07 09:26:09 279

原创 Deep Learning(1)

The linear neuron

2024-06-03 18:18:23 404 1

原创 Random Forest

【代码】Random Forest。

2024-04-06 13:10:54 284 1

原创 Underfitting and Overfitting

【代码】Underfitting and Overfitting。

2024-04-03 17:47:57 1920 1

原创 XGboost调参

L2正则化用于对叶子节点的得分进行惩罚，L1和L2正则化项共同惩罚树的复杂度,值越小模型的鲁棒性越高（减少模型过度拟合）（4）降低学习率，继续调整参数，学习率合适候选值为：[0.01, 0.015, 0.025, 0.05, 0.1]值越小模型越复杂，越容易过拟合（在决策树中，只有损失下降的值超过该值，才会继续分裂节点）每个基模型的惩罚项，降低单个模型的影响；值越接近1越容易或拟合，越接近0精度越低。（1）选择较高的学习率，例如0.1，这样可以减少迭代用时。值越大，模型越复杂，越容易过拟合。

2024-03-12 01:45:49 1769 1

原创 Measure Your Model Validation

.(Metric评价指标及损失函数-Error系列之平均绝对误差MAE)

2024-03-11 02:52:16 410

原创 Building Your Model

🥺🥺。

2024-03-10 02:48:52 381 1

原创 Basic Data Exploration(2)

【代码】How Models Work-Basic Data Exploration(2)

2024-03-10 01:59:17 1673 1

原创 Basic Data Exploration(1)

【代码】How models work-Basic Data Exploration。

2024-03-07 23:15:58 406 1

原创 How Models Work?- Improving the Decision Tree

If there are two decision trees🌲: one with only one branch👆🏻 and the other with many leaves🖐🏻, which do you think is more likely to result from fitting the real estate training data？In fact, both two decision trees can be derived from the real estate

2024-03-06 19:08:35 375

原创 How Models Work?-Introduction(2)

We need to divide houses according to the historical average price.(Because the predicted price for any house under consideration is the historical average price of houses in the same category.)We use data to decide how to break the houses into two groups,

2024-03-05 18:37:12 328

原创 How Models Work?-Introduction(1)

1---I will build models as I go through following scenario:Your cousin has made millions of dollars speculating on real estate. He's offered to become business partners with you because of your interest in data science. He'll supply the money, and you'll s

2024-03-04 19:24:56 441

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