Add new notebooks to the repo. Update NLP links in the respective REA…

…DME files
vaderjunior · Apr 13, 2019 · ddf8ddc · ddf8ddc
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diff --git a/README-details.md b/README-details.md
@@ -323,6 +323,7 @@ See [Visualisation](README-details.md#visualisation-1)
   - [Super VIP Cheatsheet: Deep Learning](https://pradeepsinngh.github.io/documents/cheatsheet-deep-learning.pdf)
   - H2O and R: [1](https://github.com/rstudio/cheatsheets/blob/master/h2o.pdf) [2](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/calibrate_model.html#examples)
   - [Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data](https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463?source=---------11-------------------)
+  - [Spacy Cheatsheet](https://www.datacamp.com/community/blog/spacy-cheatsheet)
 
 ### Misc
   - [Enterprise Data Analytics](https://www.dsta.gov.sg/docs/default-source/dsta-about/dh13201801_enterprise-data-analytics.pdf)

diff --git a/data/README.md b/data/README.md
@@ -169,7 +169,7 @@ See under [Cheatsheets](../README-details.md#cheatsheets)
 - [Python for Data Analysis on Azure git repo](https://notebooks.azure.com/wesm/projects/python-for-data-analysis)
 - [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/)
 - House prices
-    - [ML End-to-End Tutorial + Pandas notebook](../examples/data/notebooks/)
+    - [ML End-to-End Tutorial + Pandas notebook](../examples/data/notebooks/DSfIOT_Machine_Learning_End_to_End_Tutorial.ipynb)
     - [Regression example notebook](https://colab.research.google.com/drive/19uoDyGAxJ0zCwPT6cNb1xkYOfySNZChV)
     - [Classification example notebook](https://colab.research.google.com/drive/1i-fOhU87wWrzgnTV0o54MQyHmRVJK0qt)
 - [Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command line tools](https://github.com/donnemartin/data-science-ipython-notebooks)