Update index.rst

Author: tirthajyoti

docs/index.rst

@@ -8,7 +8,7 @@ here <https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7>`__)
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 Requirements
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+===============
 
 -  Python 3.5+
 -  NumPy (``$ pip install numpy``)
@@ -30,9 +30,13 @@ with
 Python” <https://heartbeat.fritz.ai/some-essential-hacks-and-tricks-for-machine-learning-with-python-5478bc6593f2>`__
 
 .. image:: https://cookieegroup.com/wp-content/uploads/2018/10/2-1.png"
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+   :align: center
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+   :alt: alternate text
 
 Essential tutorial-type notebooks on Pandas and Numpy
------------------------------------------------------
+=======================================================
 
 Jupyter notebooks covering a wide range of functions and operations on
 the topics of NumPy, Pandans, Seaborn, matplotlib etc.
@@ -49,7 +53,7 @@ the topics of NumPy, Pandans, Seaborn, matplotlib etc.
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 Regression
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+===============
 .. image:: https://slideplayer.com/slide/6053182/20/images/10/Simple+Linear+Regression+Model.jpg
    :width: 400px
    :align: center
@@ -80,7 +84,7 @@ Regression
 --------------
 
 Classification
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+===============
 
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@@ -101,7 +105,7 @@ Classification
 --------------
 
 Clustering
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+===============
 
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@@ -122,7 +126,7 @@ Clustering
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 Dimensionality reduction
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+===========================
 
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@@ -146,7 +150,7 @@ Deep Learning/Neural Network
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 Random data generation using symbolic expressions
--------------------------------------------------
+======================================================
 
 -  How to use `Sympy package <https://www.sympy.org/en/index.html>`__ to
    generate random datasets using symbolic mathematical expressions.
@@ -158,7 +162,7 @@ Random data generation using symbolic expressions
 --------------
 
 Simple deployment examples (serving ML models on web API)
----------------------------------------------------------
+============================================================
 
 -  `Serving a linear regression model through a simple HTTP server
    interface <https://github.com/tirthajyoti/Machine-Learning-with-Python/tree/master/Deployment/Linear_regression>`__.
@@ -174,7 +178,7 @@ Simple deployment examples (serving ML models on web API)
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 Object-oriented programming with machine learning
--------------------------------------------------
+======================================================
 
 Implementing some of the core OOP principles in a machine learning
 context by `building your own Scikit-learn-like estimator, and making it