Update README.md

Author: sarincr

Diff for: README.md

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 # Basic-exercises-on-Machine-Learning-with-Python
-Basic exercises on Machine Learning with Python , Refrence Book : Python for Probability, Statistics, and Machine Learning by José Unpingco
+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.ipynb
+02.Arrays.ipynb
+03.Numpy.ipynb
+04.Lists.ipynb
+05.InOut.ipynb
+06.Tuple.ipynb
+07.Sets.ipynb
+08.Dictionary .ipynb
+09.Directory.ipynb
+10.Exceptions.ipynb
+11.Custom Exceptions.ipynb
+12.Class.ipynb
+13.Inheritance.ipynb
+14.Modules.ipynb
+15.Math and Stats.ipynb
+16.Matplotlib.ipynb
+17.Seaborn.ipynb
+18.SimPy.ipynb
+19.Pendulum.ipynb
+20.Arow module.ipynb
+21.Decision TreesVIz.ipynb
+22.Requests.ipynb
+23.Tensorflow Basics.ipynb
+24.Stumpy.ipynb
+25.Linear_Regression.ipynb
+26.Logistic_regression.ipynb
+27.XGBRegressor.py
+28.Ridge_Regression.ipynb
+29.Support_Vector_Regression.ipynb
+30.Lasso_Regression.ipynb
+31.Bayesian_Ridge_Regression.ipynb
+32.MLPRegressor.ipynb
+33.Random_Forest_Regression.ipynb
+34.PLSRegression.ipynb
+35.DecisionTreeRegressor.ipynb
+36.Agglomerative_Clustering.ipynb
+37.ARIMA.ipynb
+38.K_Nearest_Neighbors_Regression_.ipynb
+39.SVC_linear.ipynb
+40.SVC_RBF.ipynb
+41.SVC_Poly.ipynb
+42.MLPClassifier.ipynb
+43.KNeighborsClassifieripynb.ipynb
+44.GaussianProcessClassifier.ipynb
+45.DecisionTreeClassifier.ipynb
+46.RandomForestClassifier.ipynb
+47.AdaBoostClassifier.ipynb
+48.GaussianNB.ipynb
+49.K_Means_Clustering.ipynb