Update 3_1_Read_Data.ipynb

Updated references

ml2/3_0_0_Intro_ML_2.ipynb

@@ -74,9 +74,9 @@
    "metadata": {},
    "source": [
     "* [IPython Notebook Tutorial for Titanic: Machine Learning from Disaster](https://www.kaggle.com/c/titanic/forums/t/5105/ipython-notebook-tutorial-for-titanic-machine-learning-from-disaster)\n",
-    "* [Scikit-learn videos](http://blog.kaggle.com/author/kevin-markham/) and [notebooks](https://github.com/justmarkham/scikit-learn-videos) by Kevin Marham\n",
-    "* [Learning scikit-learn: Machine Learning in Python](http://proquest.safaribooksonline.com/book/programming/python/9781783281930/1dot-machine-learning-a-gentle-introduction/ch01s02_html), Raúl Garreta; Guillermo Moncecchi, Packt Publishing, 2013.\n",
-    "* [Python Machine Learning](http://proquest.safaribooksonline.com/book/programming/python/9781783555130), Sebastian Raschka, Packt Publishing, 2015."
+    "* [Scikit-learn videos and notebooks](https://github.com/justmarkham/scikit-learn-videos) by Kevin Marham\n",
+    "* [Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits](https://learning.oreilly.com/library/view/hands-on-machine-learning/9781838826048/), Tarek Amr, Packt Publishing, 2020.\n",
+    "* [Python Machine Learning](https://learning.oreilly.com/library/view/python-machine-learning/9781789955750/), Sebastian Raschka and Vahid Mirjalili, Packt Publishing, 2019."
    ]
   },
   {

ml2/3_1_Read_Data.ipynb

@@ -213,8 +213,8 @@
     "* [Pandas API input-output](http://pandas.pydata.org/pandas-docs/stable/api.html#input-output)\n",
     "* [Pandas API - pandas.read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html)\n",
     "* [DataFrame](http://pandas.pydata.org/pandas-docs/stable/dsintro.html)\n",
-    "* [An introduction to NumPy and Scipy](http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf)\n",
-    "* [NumPy tutorial](https://docs.scipy.org/doc/numpy-dev/user/quickstart.html)"
+    "* [An introduction to NumPy and Scipy](https://sites.engineering.ucsb.edu/~shell/che210d/numpy.pdf)\n",
+    "* [NumPy tutorial](https://numpy.org/doc/stable/)"
    ]
   },
   {