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_d1794
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008 220208b ||||| |||| 00| 0 eng d
020 _a9788126502950
082 _a005.133
_bMOT
100 _aMotwani, Bharti
_94710
245 _aData analytics using python
260 _bWiley India Pvt. Ltd.
_aNew Delhi
_c2021
300 _axxvi, 734 p.
365 _aINR
_b739.00
504 _aTable of content SECTION 1 Programming in Python Chapter 1 Introduction to Python Chapter 2 Control Flow Statements Chapter 3 Data Structures Chapter 4 Modules SECTION 2 Core Libraries in Python Chapter 5 Numpy Library for Arrays Chapter 6 Pandas Library for Data Processing Chapter 7 Matplotlib Library for Visualization Chapter 8 Seaborn Library for Visualization Chapter 9 SciPy Library for Statistics Chapter 10 SQLAlchemy Library for SQL Chapter 11 Statsmodels Library for Time Series Models SECTION 3 Machine Learning in Python Chapter 12 Unsupervised Machine Learning Algorithms Chapter 13 Supervised Machine Learning Problems Chapter 14 Supervised Machine Learning Algorithms Chapter 15 Supervised Machine Learning Ensemble Techniques Chapter 16 Machine Learning for Text Data Chapter 17 Machine Learning for Image Data SECTION 4 Deep Learning Applications in Python Chapter 18 Neural Network Models (Deep Learning) Chapter 19 Transfer Learning for Text Data Chapter 20 Transfer Learning for Image Data Chapter 21 Chatbots with Rasa Chapter 22 The Road Ahead
520 _aDescription Data is the fuel of 21st century. The advanced technological development has brought a massive increase in the volume and spectrum of data by including text, image and video data. Data Analytics Using Python aims to make readers understand the applications of analytics in different domains with proper code and explanation. The book starts from basics of Python and gradually increases its level to machine learning. Significant focus has also been laid on deep learning and applications – neural network models like MLP, RNN and CNN; trained models for text and image data and development of chatbots.
650 _a Data analytics
_9861
650 _aPython (Programming language)
_95196
942 _2ddc
_cBK