1.Kmeans
2.progress of modelling
3.rotated sorted array find mim
4.find maximum length of subarray sum equal to k
5.DT
6.Staking
7.feature engineering的方法
8.Kmeans
9.PCA
10.GD实现
11.LSTM比simple RNN的优势
12.手写kfold cross validation
13.precision和recall的区别
14.Overfitting
15.design ml solution
16.有监督无监督区别
17.分类回归
18.电影
19.朴素贝叶斯
20.朴素贝叶斯问题
21.salient points
22.高accuracy
23.大数据
24.metrics for linear regression and explain
25.建模
26.sale计算
27.缺失数据
28.Transforming matrix
29.Transforming matrix
30.Draw sequential flow
1. Kmeans
k-means clustering 和其他clustering 有什么不同
2. progress of modelling
discribe progress of modelling
3. rotated sorted array find mim
rotated sorted array find mim
4. find maximum length of subarray sum equal to k
find maximum length of subarray sum equal to k
5. DT
向know-nothing-people解释decision tree的算法原理
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