@@ -77,6 +77,41 @@ Edition: 1st   Pages: 532   Language: English<br/>
7777 - Review case studies depicting applications of machine learning and deep learning on diverse domains and industries
7878 - Apply a wide range of machine learning models including regression, classification, and clustering.
7979 - Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning.
80+ 81+ 82+ ## Powered by the following frameworks
83+ <div >
84+ <a target =" _blank " href =" https://anaconda.org/ " ><img src =" ./media/banners/anaconda_logo.jpg " alt =" anaconda " align =" left " /></a >
85+ <a target =" _blank " href =" http://jupyter.org/ " ><img src =" ./media/banners/jupyter_logo.jpg " alt =" jupyter " align =" left " /></a >
86+ <a target =" _blank " href =" http://www.numpy.org/ " ><img src =" ./media/banners/numpy_logo.jpg " alt =" numpy " align =" left " /></a >
87+ <a target =" _blank " href =" https://www.scipy.org/ " ><img src =" ./media/banners/scipy_logo.jpg " alt =" scipy " align =" left " /></a >
88+ <a target =" _blank " href =" https://pandas.pydata.org/ " ><img src =" ./media/banners/pandas_logo.jpg " alt =" pandas " align =" left " /></a >
89+ </div >
90+ <br ><br ><br >
91+ <div >
92+ <a target =" _blank " href =" http://www.statsmodels.org/stable/index.html " ><img src =" ./media/banners/statsmodels_logo.jpg " alt =" statsmodels " align =" left " /></a >
93+ <a target =" _blank " href =" http://docs.python-requests.org/en/master/ " ><img src =" ./media/banners/requests_logo.jpg " alt =" requests " align =" left " /></a >
94+ <a target =" _blank " href =" http://www.nltk.org/ " ><img src =" ./media/banners/nltk_logo.jpg " alt =" nltk " align =" left " /></a >
95+ <a target =" _blank " href =" https://radimrehurek.com/gensim/ " ><img src =" ./media/banners/gensim_logo.jpg " alt =" gensim " align =" left " /></a >
96+ <a target =" _blank " href =" https://spacy.io/ " ><img src =" ./media/banners/spacy_logo.jpg " alt =" spacy " align =" left " /></a >
97+ </div >
98+ <br ><br ><br >
99+ <div >
100+ <a target =" _blank " href =" http://scikit-learn.org/stable/ " ><img src =" ./media/banners/scikit-learn_logo.jpg " alt =" scikit-learn " align =" left " /></a >
101+ <a target =" _blank " href =" https://www.datascience.com/resources/tools/skater " ><img src =" ./media/banners/skater_logo.png " alt =" skater " align =" left " /></a >
102+ <a target =" _blank " href =" https://facebook.github.io/prophet/ " ><img src =" ./media/banners/prophet_logo.jpg " alt =" prophet " align =" left " /></a >
103+ <a target =" _blank " href =" https://keras.io/ " ><img src =" ./media/banners/keras_logo.jpg " alt =" keras " align =" left " /></a >
104+ <a target =" _blank " href =" https://www.tensorflow.org/ " ><img src =" ./media/banners/tensorflow_logo.jpg " alt =" tensorflow " align =" left " /></a >
105+ </div >
106+ <br ><br ><br >
107+ <div >
108+ <a target =" _blank " href =" https://matplotlib.org/ " ><img src =" ./media/banners/matplotlib_logo.jpg " alt =" matplotlib " align =" left " /></a >
109+ <a target =" _blank " href =" https://orange.biolab.si/ " ><img src =" ./media/banners/orange_logo.jpg " alt =" orange " align =" left " /></a >
110+ <a target =" _blank " href =" https://seaborn.pydata.org/ " ><img src =" ./media/banners/seaborn_logo.jpg " alt =" seaborn " align =" left " /></a >
111+ <a target =" _blank " href =" https://plot.ly/ " ><img src =" ./media/banners/plotly_logo.jpg " alt =" plotly " align =" left " /></a >
112+ <a target =" _blank " href =" https://www.crummy.com/software/BeautifulSoup/bs4/doc/ " ><img src =" ./media/banners/bs_logo.jpg " alt =" beautiful soup " align =" left " /></a >
113+ </div >
114+ <br ><br ><br >
80115
81116## Audience
82117This book has been specially written for IT professionals, analysts, developers, data scientists, engineers, graduate students and anyone with an interest to analyze and derive insights from data!
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