Machine-Learning-Python-Bootcamp

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Machine-Learning-Python-Bootcamp

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Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco

Machine-Learning-Python-Bootcamp 최신버젼 다운로드

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# Basic-exercises-on-Machine-Learning-with-Python
Basic exercises on Machine Learning with Python

![alt text](https://github.com/sarincr/Machine-Learning-Python-Bootcamp/blob/master/IBM%20Badges.png)

01.Python Basics \
02.Arrays\
03.Numpy\
04.Lists\
05.InOut\
06.Tuple\
07.Sets\
08.Dictionary\
09.Directory\
10.Exceptions\
11.Custom Exceptions\
12.Class\
13.Inheritance\
14.Modules\
15.Math and Stats\
16.Matplotlib\
17.Seaborn\
18.SimPy\
19.Pendulum\
20.Arow module\
21.Decision TreesVIz\
22.Requests\
23.Tensorflow Basics\
24.Stumpy\
25.Linear_Regression\
26.Logistic_regression\
27.XGBRegressor\
28.Ridge_Regression\
29.Support_Vector_Regression\
30.Lasso_Regression\
31.Bayesian_Ridge_Regression\
32.MLPRegressor\
33.Random_Forest_Regression\
34.PLSRegression\
35.DecisionTreeRegressor\
36.Agglomerative_Clustering\
37.ARIMA\
38.K_Nearest_Neighbors_Regression\
39.SVC_linear\
40.SVC_RBF\
41.SVC_Poly\
42.MLPClassifier\
43.KNeighborsClassifier\
44.GaussianProcessClassifier\
45.DecisionTreeClassifier\
46.RandomForestClassifier\
47.AdaBoostClassifier\
48.GaussianNB\
49.K_Means_Clustering\

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