Data analytics using python
Material type:
TextPublication details: Wiley India Pvt. Ltd. New Delhi 2021Description: xxvi, 734 pISBN: - 9788126502950
- 005.133 MOT
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 005.133 MOT (Browse shelf(Opens below)) | 1 | Available | 001694 |
Table 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
Description
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.
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