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Tuesday 20 August 2024 09:49:35 GMT

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Sukaasenja_ :

amin

2024-08-20 21:41:37

0

akuimma :

🫶🫶🫶🫶

2024-09-02 14:43:03

0

N 🕊️ :

Amin🤲

2024-08-21 02:40:52

0

mput🇵🇸 :

Aamiin 🤲 Allahumma sholli'ala sayyidina Muhammad wa a'ala Ali sayyidina Muhammad 🤲❤

2024-08-21 02:38:45

13

butterflyriesx :

aamiin, alahumma baarik

2024-08-20 10:51:24

7

minyoongi :

Aamiin🤲🤲🤲

2024-08-20 09:56:04

6

rikaraa❀☘︎ :

sebentar lagi, sabar dulu yaa doamu sedang bekerja

2024-08-20 15:10:26

3

blinkeu29🍉 :

Bismillah doa satu persatu tahun ini dikabulkan. Lancarkanlah doa hambamu ini🥺

2024-08-22 16:34:32

2

Rahma :

Aamiin3x ya allah🥹🤲🏻

2024-08-20 12:05:29

2

ulyaasidiiq :

aamiin aamiin ya Allah

2024-08-25 01:42:24

1

uny :

Bismillahirrahmanirrahim ya Allah semoga segalanya di permudah Amiin

2024-08-23 08:09:15

1

Putri Ayu N :

aamiin allaahumma aamiin..

2024-08-22 15:57:35

1

Halimah 82 :

Aamiin ya Allah yra

2024-08-22 00:42:49

1

ilyo0ka :

Aamiin ya Allah

2024-08-21 00:47:10

1

Nafi :

Aamiin yaa rabbal alamiin🤲🤗

2024-08-20 16:24:18

1

P4dm4🦋 :

Astunfjara🙏🙏🙏

2024-08-20 16:21:44

1

mazya :

alhamdulillah aku udah merasakannya 🥺

2024-08-20 13:32:20

1

Che🌸 :

Aamiin ya Allah🤲

2024-08-20 10:38:45

1

f :

aamiin ya rabbal alamin🤲

2024-10-03 10:12:01

0

salfa :

aamiin paling serius

2024-09-17 17:30:52

0

tryy'nhaeii :

amiin Masya allah🤲

2024-09-17 07:36:44

0

Icha :

aamiin aamiin aamiin allahumaaamiin aamiin ya Allah ya Rabbal Alamiin🤲🏻🤲🏻

2024-09-17 03:34:57

0

فيا :

Allahumma shalli ala sayyidina Muhammad

2024-09-14 06:48:22

0

user978213796761 :

amin ya allah

2024-09-04 12:54:46

0

Omalgan :

Amin

2024-09-01 17:32:50

0

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Building Decision Trees From Scratch in Python Dive into the fundamentals of machine learning by creating a decision tree classifier from scratch. Starting with a basic Node class, we'll progressively build a complete implementation covering splitting criteria, tree growth, and pruning techniques. The presentation includes practical examples with the Iris dataset and mushroom classification, along with visualization methods to understand the tree structure. You can find, for free, this and all others slideshow on the xbe.at website #python #machinelearning #stem #computerscience #datascience #programming #coding #tech #artificialintelligence #algorithms Key points to master Decision Trees: 1. Practice implementing each component separately. Start with the Node class, then move to splitting criteria, and finally tree construction. Understanding how each piece works independently makes the whole implementation clearer. 2. Visualize your trees frequently. Create small test datasets and draw out the resulting trees by hand to verify your implementation is working as expected. This helps catch logical errors early. 3. Test edge cases thoroughly. Try datasets with identical features, empty datasets, or cases where all samples belong to the same class. These corner cases often reveal implementation bugs. 4. Deep dive into the math. Understanding concepts like Gini impurity and information gain at a mathematical level will help you implement and debug your decision trees more effectively. 5. Experiment with different datasets. Start simple but gradually increase complexity. This helps build intuition about how decision trees behave with various data distributions and types. 6. Compare your implementation with established libraries like scikit-learn. This helps validate your work and understand standard practices in tree implementation.

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