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

Jupyter Notebook 99.98% Python 0.02%
machine-learning python statistics machinelearning machine-learning-algorithms machinelearning-python deep-learning artificial-intelligence regression sklearn scikit-learn pandas matplotlib numpy scipy neural-network python3 algorithms logistic-regression support-vector-machine

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

Basic exercises on Machine Learning with Python

alt text

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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