Python 初級 - 機器學習：scikit-learn - classification 分類|AI|人工智能|數據分析|教學|廣東話 Video

Patreon: https://www.patreon.com/kfsoft

Practical Machine Learning with scikit-learn (predictive data analysis)
1) Machine Learing concepts
- revision: overfit, metrics
2) Classification
- demo 1: Image (handwritten digits)
- demo 2: Text (spam filter with naive bayes)

Sources:
https://github.com/learn10kYear/learn-pandas/blob/master/sklearn3/sk-classification-1-digit.ipynb
https://github.com/learn10kYear/learn-pandas/blob/master/sklearn3/sk-classification-2-spamfilter.ipynb

00:00 Introduction
01:30 PART 1: ML concepts review
00:53 Input X, y
05:00 Generalization & overfitting
09:44 Evaluation metrics
15:17 PART 2A - DEMO 1. handwritten digits images classification
16:18 Load digits dataset
19:54 Show images
22:25 Train_test_split
24:55 SVM vs KNN
27:59 SVM error = classification error + margin error
32:08 SVM kernel - non-linear decision boundaries
34:06 SVC training & evaluation
39:48 Logistic Regression
42:41 Evaluate multiple algorithms
50:08 CV: cross_val_score(), cross_validate()
53:24 Hyperparameter tuning: GridSearchCV()
01:00:10 RandomizedSearchCV()
01:03:17 PART 2B - DEMO 2. text classification (spam filter)
01:05:02 CountVectorizer - text column to word-counter columns
01:11:49 Chinese word tokenization: jieba
01:15:40 Naive Bayes
01:17:48 Workflow of text classification
01:21:14 Manual calculations
01:26:44 Complete example - Read dataset
01:28:16 Remove Null value
01:29:28 Train_test_split
01:30:45 Fit countVectorizer & transform data (text to counter conversion)
01:35:58 Fit MultinomialNB (text classification)
01:40:41 Model evaluation
01:42:26 Compute baseline accuracy
01:47:05 Confusion matrix
01:48:36 ROC curve
01:53:40 Save and load trained vectorizer and trained naive bayes model with Joblib
01:54:50 Apply trained vectorizer and trained naive bayes model on unseen data
01:56:13 Summary & conclusion


Python入門：第1課 - PyCharm + Data Types https://youtu.be/s9toTBXQSPE
Python入門：第2課 - Python containers (1): List, Tuple https://youtu.be/7hm0zHgEGZ4
Python入門：第3課 - Python containers (2): Dictionary & Set https://youtu.be/7Jvfd6qFLzU
Python入門：第4課 - If-Else, Looping, Try-except https://youtu.be/sXdh5L5rcX0
Python入門：第5課 - Function + File https://youtu.be/rk8kU3no5No
Python入門：第6課 - Class and Object https://youtu.be/HPb0Lg3FQfM
Python入門：第7課 - URL, JSON, Sqlite https://youtu.be/93lOZTxJtrs
Python入門：第8課 - 用Flask進行Web開發 https://youtu.be/Z4CR3rwVkGc
Python入門：第9課 - Flask + DB ORM https://youtu.be/ZQoBdEH1zow
Python入門：第10課 - Flask補充1 https://youtu.be/AC23QWvFNWI
Python入門：第11課 - Flask補充2 https://youtu.be/-PkZ8sGhm-U
Python入門：Project 2 - Password generator 密碼生成器 https://youtu.be/5miejVDO9_w
Python初級：openpyxl - 讀寫 MS Excel 文件 https://youtu.be/tjcJV2fur5g
Python初級：python-docx - 讀寫 MS Word 文件 https://youtu.be/PEKWb5R3sSU

Python入門 - 數據科學 - Jupyter Lab & Notebook 安裝+入門教程 https://youtu.be/niWD8kxgpH0
Python入門 - 數據科學 - Anaconda + PyCharm 安裝 https://youtu.be/H4ihRvtdY7M
Python初級 - 數據科學 - Numpy入門 https://youtu.be/t7ygnafk760
Python初級 - 數據科學 - Pandas入門 https://youtu.be/ZYjhM7J9eFQ
Python初級 - 數據科學 - Pandas時間 + 圖表 https://youtu.be/jrd8shHEVFQ
Python初級 - 數據科學 - Pandas類別 + 樣式 https://youtu.be/4ntwbAWnKbg

Database初級：SQL入門 https://youtu.be/OtM74u3Fbw0
Database初級：JOIN連接 https://youtu.be/tpDvgr7qHsw
Database初級：MongoDB入門 https://youtu.be/XTqW3oOt3Ps

Python初級 - 機器學習 - Scikit-learn 入門 https://youtu.be/3m8Bb01uNNE
Python初級 - 機器學習 - Scikit-learn - Regression 回歸 https://youtu.be/QyYZT8o-f3U
Python初級 - 機器學習 - Scikit-learn - Classification 分類 https://youtu.be/JKn0OoHSoRo
Python初級 - 機器學習 - Scikit-learn - Clustering 聚類+降維 https://youtu.be/UgXyK-k-CgM

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