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scikit-learn Machine Learning K-Means Clustering 사이킷런 머신러닝 K-평균 군집화

scikit-learn Machine Learning K-Means Clustering 사이킷런 머신러닝 K-평균 군집화 In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns Data Collection¶ In [2]: file_url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/example_cluster.csv' df = pd.read_csv(file_url) In [3]: df.head() Out[3]: var_1 var_2 0 3.264413 6...
CS & DS/scikit-learn Machine Learning 2022. 11. 21. 15:00
scikit-learn Machine Learning LightGBM 사이킷런 머신러닝 LightGBM

scikit-learn Machine Learning LightGBM 사이킷런 머신러닝 LightGBM In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns Data Collection¶ In [2]: # https://www.kaggle.com/datasets/kartik2112/fraud-detection file_url = 'https://media.githubusercontent.com/media/musthave-ML10/data_source/main/fraud.csv' df = pd.read_csv(file_url) df.head() Out[2]: tran..
CS & DS/scikit-learn Machine Learning 2022. 11. 21. 14:51
scikit-learn Machine Learning XGBoost 사이킷런 머신러닝 XGBoost

scikit-learn Machine Learning XGBoost 사이킷런 머신러닝 XGBoost In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns Data Collection¶ In [2]: # https://www.kaggle.com/datasets/annavictoria/speed-dating-experiment file_url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/' file_name = 'dating.csv' df = ..
CS & DS/scikit-learn Machine Learning 2022. 11. 21. 14:50
scikit-learn Machine Learning RandomForest 사이킷런 머신러닝 랜덤포레스트

scikit-learn Machine Learning RandomForest 사이킷런 머신러닝 랜덤포레스트 In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns 1. Data Collection¶ In [2]: # 'https://www.kaggle.com/datasets/nehalbirla/vehicle-dataset-from-cardekho' file_url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/' file_name = '..
CS & DS/scikit-learn Machine Learning 2022. 11. 21. 14:47
scikit-learn Machine Learning DecisionTree 사이킷런 머신러닝 결정트리

scikit-learn Machine Learning DecisionTree 사이킷런 머신러닝 결정트리 Data Collection¶ In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns In [2]: # https://www.kaggle.com/datasets/ayessa/salary-prediction-classification url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/salary.csv' df = pd.read_csv(url, skipin..
CS & DS/scikit-learn Machine Learning 2022. 11. 21. 14:46
scikit-learn Machine Learning Naive Bayes Kor NLP 사이킷런 머신러닝 나이브베이즈 한글 자연어처리

scikit-learn Machine Learning Naive Bayes Kor NLP 사이킷런 머신러닝 나이브베이즈 한글 자연어처리 In [1]: # import library import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns 1. 데이터 불러오기 (Data Collection)¶ In [2]: # https://github.com/e9t/nsmc/ file_url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/ratings.txt' df = pd.read_csv..
CS & DS/scikit-learn Machine Learning 2022. 11. 21. 14:44
scikit-learn Machine Learning Naive Bayes Eng NLP 사이킷런 머신러닝 나이브베이즈 영어 자연어처리

scikit-learn Machine Learning Naive Bayes Eng NLP 사이킷런 머신러닝 나이브베이즈 영어 자연어처리 In [1]: # import library import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns Data Collection¶ In [2]: file_url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/' file_name = 'spam.csv' df = pd.read_csv(file_url + file_name, in..
CS & DS/scikit-learn Machine Learning 2022. 11. 15. 17:23
scikit-learn Machine Learning k-NN algorithm 사이킷런 머신러닝 k-NN 알고리즘

scikit-learn Machine Learning k-NN algorithm 사이킷런 머신러닝 k-NN 알고리즘 In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns Data Collection¶ In [2]: # https://archive.ics.uci.edu/ml/datasets/wine # https://www.kaggle.com/datasets/akhil0007/wine-data file_url = 'https://raw.githubusercontent.com/dev-EthanJ/scikit-learn_Machine_Learning/main/data/'..
CS & DS/scikit-learn Machine Learning 2022. 11. 15. 09:08
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