Python for Machine Learning - 6) Classification

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Python for Machine Learning - 5) 로지스틱 회귀

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Python for Machine Learning - 4) 선형 회귀

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Python for Machine Learning - 2) Python for ML

Python for Machine Learning Python Ecosystem for ML ch2_0_Python Ecosystem for Machine Learning.pdf drive.google.com How to learn machine learning ch2_1_ml_overview.pdf drive.google.com Representing a model ch2_2_Representing a model (2).pdf drive.google.com
ML DL Note/Python 2021. 5. 31. 23:55
Python for Machine Learning - 3) Data Handling

1)Numpy ch3_Numpy (1).pdf drive.google.com 2)Pandas(1) ch3_pandas_1.pdf drive.google.com 3)Pandas(2) ch3_pandas_2.pdf drive.google.com 4)Matplotlib ch3_matplotlib.pdf drive.google.com 5) Data Cleansing ch3_data_cleansing.pdf drive.google.com 6)Kaggle ch3_kaggle.pdf drive.google.com # # # # #
ML DL Note/Python 2021. 5. 31. 19:29
Python for Machine Learning - 1) Pythonic Code

Pythonic Code Overview Split & Join List Comprehension List Comprehension Enumerate & Zip # for loop + zip alist = ['a1', 'a2', 'a3'] blist = ['b1', 'b2', 'b3'] for a, b in zip(alist, blist): print(a, b) #list comprehension + zip a, b, c = zip((1, 2, 3), (10, 20, 30), (100, 200, 300)) print(a, b, c) print([sum(x) for x in zip((1, 2, 3), (10, 20, 30), (100, 200, 300))]) #enumerate + zip alist = [..
ML DL Note/Python 2021. 5. 23. 08:12
Python Pre-Course

1) Variables is_in extend insert del 다양한 Data Type이 하나에 List에 들어감 2) Function_and_io print formatting - (1) % string (2) format 함수(3) fstring p21 print(f" value is {value}) check %-format - %s , %c, %d, %f, %o, %x, %% p11 sorted(list_ex) 와 list.sorted 의 차이 input() 3) Conditionals_and_loops 4) Str_and_advanced_functio 5) Python_datastructure 6) Pythonic_codes 7) Object_oriented_programming 8) Mod..
ML DL Note/Python 2021. 5. 22. 11:50
Python Data Structures

Ch06 Ch6.pdf drive.google.com Ch07 Ch7.pdf drive.google.com Ch08 Ch8.pdf drive.google.com Ch09 Ch9.pdf drive.google.com Ch10 Ch10.pdf drive.google.com Python Data Structures
ML DL Note/Python 2021. 5. 20. 16:46
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