Update README.md

Author: ujjwalkarn

README.md

@@ -5,7 +5,7 @@
 
 - [Comprehensive topic-wise list of Machine Learning and Deep Learning tutorials, codes, articles and other resources](https://github.com/ujjwalkarn/Machine-Learning-Tutorials/blob/master/README.md).
 
-##The Python Language
+## The Python Language
 - [Learn Python Codecademy](https://www.codecademy.com/learn/python#)
 - [**Awesome Python**](https://github.com/vinta/awesome-python)
 - [**Jargon from the functional programming world in simple terms!**](https://github.com/hemanth/functional-programming-jargon)
@@ -24,7 +24,7 @@
     - [Scripting with Python](https://www.schrodinger.com//AcrobatFile.php?type=supportdocs&type2=&ident=404)
     - [**Can I use Python as a bash replacement?**](http://stackoverflow.com/questions/209470/can-i-use-python-as-a-bash-replacement)
 
-##Data Science with Python
+## Data Science with Python
 - [**Data Science IPython Notebooks**](https://github.com/donnemartin/data-science-ipython-notebooks)
 - [Awesome Python - Data Analysis](https://github.com/vinta/awesome-python#science-and-data-analysis)
 - Statistics
@@ -50,7 +50,7 @@
 - [Awesome Python - Data Visualization](https://github.com/vinta/awesome-python#data-visualization)
 - [Awesome Python - Map Reduce](https://github.com/vinta/awesome-python#mapreduce)
 
-##Pandas Library in Python
+## Pandas Library in Python
 - [Intro to pandas data structures](http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/)
 - [Useful Pandas Cheatsheet](https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf)
 - [An Introduction to Scientific Python – Pandas](http://www.datadependence.com/2016/05/scientific-python-pandas/)
@@ -83,7 +83,7 @@
     - [Selecting multiple rows and columns from a DataFrame](https://www.youtube.com/watch?v=xvpNA7bC8cs&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=19)
     - [Reducing the size of a DataFrame](https://www.youtube.com/watch?v=wDYDYGyN_cw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=21)
 
-##Machine Learning with Python
+## Machine Learning with Python
 - [AI, ML Related List](https://github.com/svaksha/pythonidae/blob/master/AI.md)
 - [Data Normalization in Python](http://blog.yhat.com/posts/data-normalization-in-python.html)
 - [**Python Machine Learning Book**](https://github.com/rasbt/python-machine-learning-book)
@@ -97,7 +97,7 @@
 - Computer Vision
   - [Awesome Python - Computer Vision](https://github.com/vinta/awesome-python#computer-vision)
 
-##Scikit Learn
+## Scikit Learn
 - [scikit learn on Wikipedia](https://en.wikipedia.org/wiki/Scikit-learn)
 - [**Introduction to machine learning with scikit-learn**](https://github.com/justmarkham/scikit-learn-videos), [**Videos!**](http://blog.kaggle.com/author/kevin-markham/)
 - [**A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library**](http://machinelearningmastery.com/a-gentle-introduction-to-scikit-learn-a-python-machine-learning-library/)
@@ -110,15 +110,15 @@
 - [Saving classifier to disk in scikit-learn](http://stackoverflow.com/questions/10592605/save-classifier-to-disk-in-scikit-learn)
 
 
-##Linear Regression in Python
+## Linear Regression in Python
 - [Linear Regression in Python](http://nbviewer.ipython.org/github/justmarkham/DAT4/blob/master/notebooks/08_linear_regression.ipynb), [Blog Post](http://www.dataschool.io/linear-regression-in-python/)
 - [Linear Regression using Scikit Learn](http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html)
 - [A friendly introduction to linear regression (using Python)](http://www.dataschool.io/linear-regression-in-python/)
 - [Linear Regression Example in Python](http://scipy-cookbook.readthedocs.io/items/LinearRegression.html)
 - [Regression analysis using Python StatsModels package](http://www.turingfinance.com/regression-analysis-using-python-statsmodels-and-quandl/)
 - [Run an OLS regression with Pandas Data Frame](http://stackoverflow.com/questions/19991445/run-an-ols-regression-with-pandas-data-frame)
 
-##Logistic Regression in Python
+## Logistic Regression in Python
 - [Logistic Regression with scikit learn](http://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/)
 - [Logistic Regression in Python](http://blog.yhat.com/posts/logistic-regression-and-python.html)
 - [Implementing the softmax function in Python](http://stackoverflow.com/questions/34968722/softmax-function-python)
@@ -128,7 +128,7 @@
 - [TUTORIAL ON LOGISTIC REGRESSION AND OPTIMIZATION IN PYTHON](https://learningwithdata.wordpress.com/2015/04/30/tutorial-on-logistic-regression-and-optimization-in-python/)
 - [Using Logistic Regression in Python for Data Science](http://www.dummies.com/how-to/content/using-logistic-regression-in-python-for-data-scien.html)
 
-##k Nearest Neighbours in Python
+## k Nearest Neighbours in Python
 - [A good tutorial on implementing K Nearest Neighbors using scikit learn](http://scikit-learn.org/stable/modules/neighbors.html)
 - [**Is it possible to specify your own distance function using scikit-learn K-Means Clustering?**](http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikit-learn-k-means)
 - [Tutorial To Implement k-Nearest Neighbors in Python From Scratch](http://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-python-from-scratch/)
@@ -138,7 +138,7 @@
 - [Sklearn kNN usage with a user defined metric](http://stackoverflow.com/questions/21052509/sklearn-knn-usage-with-a-user-defined-metric)
 
 
-##Neural Networks in Python
+## Neural Networks in Python
 - [Implementing a Neural Network from scratch in Python](http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/), [Code](https://github.com/dennybritz/nn-from-scratch)
 - [A Neural Network in 11 lines of Python](http://iamtrask.github.io/2015/07/12/basic-python-network/)
 - [Speeding up your Neural Network with Theano and the gpu](http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/), [Code](https://github.com/dennybritz/nn-theano)
@@ -148,7 +148,7 @@
 - [Neural Networks Tutorial – a Pathway to Deep Learning](http://www.adventuresinmachinelearning.com/neural-networks-tutorial/)
 
 
-##Decision Trees in Python
+## Decision Trees in Python
 - [How to extract the decision rules from scikit-learn decision-tree?](http://stackoverflow.com/questions/20224526/how-to-extract-the-decision-rules-from-scikit-learn-decision-tree)
 - [**How do I find which attributes my tree splits on, when using scikit-learn?**](http://stackoverflow.com/questions/20156951/how-do-i-find-which-attributes-my-tree-splits-on-when-using-scikit-learn)
 - [Quora: What is a good Python library for decision trees?](https://www.quora.com/What-is-a-good-Python-library-for-decision-trees), [StackOverflow](http://stackoverflow.com/questions/3127922/what-is-a-good-python-library-for-decision-trees) 
@@ -160,7 +160,7 @@
 - [Code for simple decision tree in Python](https://github.com/gumption/Python_for_Data_Science/blob/master/simple_decision_tree.py)
 - [Lesson notebook: Regression and Classification Trees](http://nbviewer.jupyter.org/github/justmarkham/DAT8/blob/master/notebooks/17_decision_trees.ipynb)
 
-##Random Forest with Python
+## Random Forest with Python
 - [Getting Started with Random Forests: Titanic Competition on Kaggle](https://www.kaggle.com/c/titanic/details/getting-started-with-random-forests), [Python sample code](https://www.kaggle.com/c/digit-recognizer/forums/t/2299/getting-started-python-sample-code-random-forest)
 - [RandomForestClassifier vs ExtraTreesClassifier in scikit learn](http://stackoverflow.com/questions/22409855/randomforestclassifier-vs-extratreesclassifier-in-scikit-learn)
 - [Powerful Guide to learn Random Forest](http://www.analyticsvidhya.com/blog/2015/09/random-forest-algorithm-multiple-challenges/)
@@ -172,7 +172,7 @@
 - [How to output RandomForest Classifier from python?](http://stackoverflow.com/questions/23000693/how-to-output-randomforest-classifier-from-python)
 - [Lesson notebook: Ensembling, Bagging, and Random Forests](http://nbviewer.jupyter.org/github/justmarkham/DAT8/blob/master/notebooks/18_ensembling.ipynb)
 
-##Support Vector Machine in Python
+## Support Vector Machine in Python
 - [Fastest SVM implementation usable in Python](http://stackoverflow.com/questions/9299346/fastest-svm-implementation-usable-in-python)
 - [An example using python bindings for SVM library, LIBSVM](http://stackoverflow.com/questions/4214868/an-example-using-python-bindings-for-svm-library-libsvm)
 - [What is the best SVM library usable from Python?](https://www.quora.com/What-is-the-best-SVM-library-usable-from-Python)
@@ -181,7 +181,7 @@
 - [Linear SVC Machine learning SVM example with Python](https://pythonprogramming.net/linear-svc-example-scikit-learn-svm-python/)
 - [Understanding Support Vector Machine algorithm from examples (along with code)](http://www.analyticsvidhya.com/blog/2015/10/understaing-support-vector-machine-example-code/)
 
-##NLP / Text Mining in Python
+## NLP / Text Mining in Python
 - [**NLP with Python ORiley Book**](http://www.nltk.org/book_1ed/), [Python 3](http://www.nltk.org/book/)
 - [Awesome Python - NLP](https://github.com/vinta/awesome-python#natural-language-processing)
 - [Awesome Python - Text Processing](https://github.com/vinta/awesome-python#text-processing)
@@ -192,7 +192,7 @@
 - [N-grams: Explanation + 2 applications](http://stackoverflow.com/questions/1032288/n-grams-explanation-2-applications)
 - [NLP Tutorial with Python](http://www.datasciencecentral.com/profiles/blogs/python-nlp-tools)
 
-##Sentiment Analysis with Python
+## Sentiment Analysis with Python
 - [Twitter-Sentiment-Analysis](https://github.com/ujjwalkarn/Twitter-Sentiment-Analysis)
 - [Basic Sentiment Analysis with Python](http://fjavieralba.com/basic-sentiment-analysis-with-python.html)
 - [What is the best way to do Sentiment Analysis with Python?](https://www.quora.com/What-is-the-best-way-to-do-Sentiment-Analysis-with-Python-1)
@@ -203,24 +203,24 @@
     - [**Sentiment Analysis with bag-of-words**](http://ataspinar.com/2016/01/21/sentiment-analysis-with-bag-of-words/)
     - [**Sentiment Analysis with Naive Bayes**](http://ataspinar.com/2016/02/15/sentiment-analysis-with-the-naive-bayes-classifier/)
 
-##Pickle: convert a python object into a character stream
+## Pickle: convert a python object into a character stream
 - [Python serialization - Why pickle?](http://stackoverflow.com/questions/8968884/python-serialization-why-pickle)
 - [**Serializing Python Objects**](http://www.diveinto.org/python3/serializing.html), [**Binary Files**](http://www.diveinto.org/python3/files.html#binary)
 - [What is Pickle in python ?](https://pythontips.com/2013/08/02/what-is-pickle-in-python/)
 - [How to cPickle dump and load separate dictionaries to the same file?](http://stackoverflow.com/questions/11641493/how-to-cpickle-dump-and-load-separate-dictionaries-to-the-same-file)
 - [**Understanding Pickling in Python**](http://stackoverflow.com/questions/7501947/understanding-pickling-in-python)
 
-##AutoML
+## AutoML
 - [TPOT: A Python tool for automating data science](http://www.randalolson.com/2016/05/08/tpot-a-python-tool-for-automating-data-science/), [GitHub repo](https://github.com/rhiever/tpot)
 
-##Regex Related
+## Regex Related
 - [RegExr](http://regexr.com/)
 - [Regex101](https://regex101.com/)
 - [Pythex](http://pythex.org/)
 - [How to use Regular Expressions (Regex) in Microsoft Excel both in-cell and loops](http://stackoverflow.com/questions/22542834/how-to-use-regular-expressions-regex-in-microsoft-excel-both-in-cell-and-loops)
 - [Advanced Filters: Excel’s Amazing Alternative To Regex](http://searchengineland.com/advanced-filters-excels-amazing-alternative-to-regex-143680)
 
-##Shell Scripting
+## Shell Scripting
 - [**Calling an external command in Python**](http://stackoverflow.com/questions/89228/calling-an-external-command-in-python)
 - [**Running shell command from Python and capturing the output**](http://stackoverflow.com/questions/4760215/running-shell-command-from-python-and-capturing-the-output)
 - [**Can I use Python as a bash replacement?**](http://stackoverflow.com/questions/209470/can-i-use-python-as-a-bash-replacement)
@@ -233,7 +233,7 @@
 - [The Beginner’s Guide to Shell Scripting: The Basics](http://www.howtogeek.com/67469/the-beginners-guide-to-shell-scripting-the-basics/)
 - [Linux Shell Scripting Tutorial v1.05r3 A Beginner's handbook](http://www.freeos.com/guides/lsst/)
 
-##Other good lists
+## Other good lists
 - [pycrumbs - Bits and bytes of Python from the Internet](https://github.com/kirang89/pycrumbs)
 - [python github projects - Collect and classify python projects on Github](https://github.com/checkcheckzz/python-github-projects)
 - [python reference - Useful functions, tutorials, and other Python-related things](https://github.com/rasbt/python_reference)