Python Data Science the ultimate and complete beginners guide to master data science with Python step by step
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Format: | Buch |
Sprache: | English |
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[Erscheinungsort nicht ermittelbar]
[Andrew Park]
[2020]
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adam_text | Table of Contents INTRODUCTION......................................................................................... 5 Data discovery............................................................................................... 7 Getting the data prepared..........................................................................8 Mathematical models.................................................................................. 9 Putting it all into action.......................................................................... ю The importance of communication........................................................... u CHAPTER і: HISTORY OF DATA SCIENCE...................................... 14 CHAPTER 2: WORiaNG WITH PYTHON FOR DATA SCIENCE...................................................................................................18 Why Is Python Important?........................................................................ 18 The Role of Python in Data Science....................................................... 20 PythonEngineering Structure................................................................27 CHAPTER 3: MACHINE LEARNING AND HOW IT FITS WITH DATA SCIENCE......................................................................................... ЗО What is Machine Learning?............................................................... 31 CHAPTER 4: DATA STRUCTURES OBJECT-ORIENTED PYTHON........................................................................ ............................ 35 Immutable structured data
(static)....................................................... 36 Tuples............................................................................................................. 45 Indexing, trimming and other tuple operations...................................47 Tuple Methods..................................................................... 52 Zip function...................................................... 53 Frozen sets (Frozen set)............................................................................ 53 Indexing, trimming and other list operations................ 56 Object-oriented programming with Python................................. 60 CHAPTER 5։ DATA SCIENCE ALGORITHMS AND MODELS..... 66 Neural Networks............................................ 66 Naïve Bayes..................................................................... 69 Clustering algorithms.............................................................................. 70 Support Vector Machines...........................................................................71 Decision Trees.............................................................................................. 73 К-Nearest Neighbors..................................................................................74 The Markov Algorithm...............................................................................76 3
CHAPTER 6: REGRESSION ANALYSIS (LINEAR AND LOGISTIC REGRESSION)............................... 78 Linear Regression.................................................. 79 Logistic Regression.................................................................................... 83 Logistic Regression vs. Linear Regression........................................... 88 How Does Machine Learning Compare to AI......................................... 89 CHAPTER 7: DATA AGGREGATION AND GROUP OPERATIONS.......................................................................................... 94 What is Data Aggregation......................................................................... 95 CHAPTER 8:PRACTICAL CODES AND EXERCISES TO USE PYTHON................................................................................................... 98 CHAPTER 9 : FUNCTIONS AND MODULES IN PYTHON.......... 108 The Syntax of Functions.......................................................................... 108 How Functions are Called in Python................................................... 109 CHAPTER ««INTERACTION WITH DATABASES........................ ill The Pickle Module...................................................................................... 111 The SQL1TE3 Module.................................................................................. 113 Building a Digital Spider.......................................................................... 116 CHAPTER lliDATA MINING TECHNIQUES IN DATA
SCIENCE.................................................................................................... 119 Mapreduce Technique............................................................................... 119 Distance Measures.....................................................................................120 Link Analysis............................................................................................... 120 Pagerank........................................................... 121 The Content................................................................................................. 121 Data Streaming............................................................................................121 Sampling data in a Stream........................................................................ 122 Filtering Streams...................................................................................... 122 Count Specific Elements in a Stream....................... 122 Frequent Item - Set Analysis.................................................................. 123 CHAPTER 12SDATA IN THE CLOUD................................................. 124 What is the Cloud?............................................ 124 Cloud and Big data Governance.............................................................128 CONCLUSION............................................................................................131 4
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any_adam_object | 1 |
author | Park, Andrew |
author_facet | Park, Andrew |
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author_sort | Park, Andrew |
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building | Verbundindex |
bvnumber | BV047307134 |
classification_rvk | ST 250 |
ctrlnum | (OCoLC)1268196075 (DE-599)BVBBV047307134 |
discipline | Informatik |
format | Book |
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id | DE-604.BV047307134 |
illustrated | Not Illustrated |
indexdate | 2024-12-24T08:45:04Z |
institution | BVB |
isbn | 9798664667851 |
language | English |
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owner | DE-355 DE-BY-UBR |
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physical | 132 Seiten |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | [Andrew Park] |
record_format | marc |
spellingShingle | Park, Andrew Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Data Science (DE-588)1140936166 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
subject_GND | (DE-588)1140936166 (DE-588)4434275-5 |
title | Python Data Science the ultimate and complete beginners guide to master data science with Python step by step |
title_auth | Python Data Science the ultimate and complete beginners guide to master data science with Python step by step |
title_exact_search | Python Data Science the ultimate and complete beginners guide to master data science with Python step by step |
title_full | Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Andrew Park |
title_fullStr | Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Andrew Park |
title_full_unstemmed | Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Andrew Park |
title_short | Python Data Science |
title_sort | python data science the ultimate and complete beginners guide to master data science with python step by step |
title_sub | the ultimate and complete beginners guide to master data science with Python step by step |
topic | Data Science (DE-588)1140936166 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
topic_facet | Data Science Python Programmiersprache |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032710151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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