Python Machine Learning(目錄)
2022/05/25
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https://pixabay.com/zh/photos/snake-python-serpent-scales-543243/
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Fig. 1. Connections between Python, Numpy, Scipy, Matplotlib and Pandas [2].
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Python Machine Learning(目錄)
一、Machine Learning
1.1 Titanic
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Appendix A. Python
1.1 Introduction
1.1.1 Concise
1.1.2 Glue
1.1.3 Interpreter and Compilerr
1.1.4 Calling C++ Functions
1.1.5 Calling C Functions
1.1.6 Colab
1.1.7 Tutorial
1.1.8 Writing Mathematical Expressions
1.2 Keywords
1.2.1 import
1.2.2 from
1.2.3 as
1.2.4 with
1.2.5 for
1.2.6 in
1.2.7 if
1.2.8 def
1.2.9 return
1.2.10 yield
1.2.11 lambda
1.2.12 None
1.2.13 class
1.2.14 del
1.3 Built-in Types
1.3.1 list
1.3.2 tuple
1.3.3 range
1.3.4 set
1.3.5 dict
1.4.1 print()(輸出第一:螢幕)
1.4.2 open()(輸出第一:檔案)
1.4.3 sum()
1.5 Standard Library
1.5.1 sys(輸出第一:螢幕或檔案)
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2. Libraries
輸出第一(繪圖)
2.1 matplotlib
2.1.1 seaborn
2.1.2 Bokeh
資料結構第二
2.2 NumPy(array)
2.2.1 SciPy(科學)
資料結構第三
2.3 Pandas(struct)
2.3.1 statsmodels(統計)
演算法第四
2.4 scikit-learn(機器學習)
2.4.1 scikit-image(影像處理)
2.4.2 PIL / Pillow(影像處理)
2.4.3 OpenCV(影像處理)
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CS
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MA
4. 微積分、微分方程
6. Statistics
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EE
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9. MVP
9.1 Django
9.2 PyQt
9.3 MySQL
9.3.1 MariaDB
9.4 MongDB
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Python Machine Learning(目錄)
一、Machine Learning
1.1 Titanic
1.2 Boston
1.3 Iris
二、Deep Learning(CV)
2.1 LeNet
2.2 ResNet
2.3 FCN
2.4 YOLO
2.5 Faster R-CNN
三、Deep Learning(NLP)
3.1 Word2vec
3.2 LSTM
3.3 Seq2seq
3.4 Attention
3.5 Transformer
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實作
Discrete Fourier Transform in Python
Fast Fourier Transform in Python
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References
# 網頁
[1] Python Courses and Tutorials: Online and On Site
# 網頁
[2] Numerical Programming with Python | Numerical Programming
https://python-course.eu/numerical-programming/
# 網頁
[3] Intro to Machine Learning with Python | Machine Learning
https://python-course.eu/machine-learning/
# 書
[4] A Whirlwind Tour of Python | A Whirlwind Tour of Python
https://jakevdp.github.io/WhirlwindTourOfPython/
# 書
[5] Python Data Science Handbook | Python Data Science Handbook
https://jakevdp.github.io/PythonDataScienceHandbook/
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Python Machine Learning(目錄)
https://mandhistory.blogspot.com/2022/05/python.html
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