{"id":31907,"date":"2024-04-17T09:03:00","date_gmt":"2024-04-17T09:03:00","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%ac%d9%85%d8%b9\/"},"modified":"2024-04-17T05:34:25","modified_gmt":"2024-04-17T05:34:25","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%ac%d9%85%d8%b9","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%ac%d9%85%d8%b9\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646: \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u062f\u0631\u06af\u06cc\u0631\u06cc \u060c \u062a\u062c\u0633\u0645 \u0648 \u0633\u0627\u062e\u062a\u0645\u0627\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u060c \u0686\u0627\u067e 3 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/04\/9781789955248.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2021\u00a0\u00a0|\u00a0\u00a0463 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 13 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Avinash Navlani, Armando Fandango, Ivan Idris<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1789955246<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781789955248<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">Understand data analysis pipelines using machine learning algorithms and techniques with this practical guide<br \/>\nKey FeaturesPrepare and clean your data to use it for exploratory analysis, data manipulation, and data wrangling<br \/>\nDiscover supervised, unsupervised, probabilistic, and Bayesian machine learning methods<br \/>\nGet to grips with graph processing and sentiment analysisBook Description<\/p>\n<p>Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you&#8217;ll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines.<\/p>\n<p>Starting with the essential statistical and data analysis fundamentals using Python, you&#8217;ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You&#8217;ll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you&#8217;ll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you&#8217;ll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask.<\/p>\n<p>By the end of this data analysis book, you&#8217;ll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data.<br \/>\nWhat you will learn<\/p>\n<p>Explore data science and its various process models<br \/>\nPerform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing values<br \/>\nCreate interactive visualizations using Matplotlib, Seaborn, and Bokeh<br \/>\nRetrieve, process, and store data in a wide range of formats<br \/>\nUnderstand data preprocessing and feature engineering using pandas and scikit-learn<br \/>\nPerform time series analysis and signal processing using sunspot cycle data<br \/>\nAnalyze textual data and image data to perform advanced analysis<br \/>\nGet up to speed with parallel computing using Dask<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for data analysts, business analysts, statisticians, and data scientists looking to learn how to use Python for data analysis. Students and academic faculties will also find this book useful for learning and teaching Python data analysis using a hands-on approach. A basic understanding of math and working knowledge of the Python programming language will help you get started with this book.<br \/>\nTable of Contents<\/p>\n<p>Getting Started with Python Libraries<br \/>\nNumPy and Pandas<br \/>\nStatistics<br \/>\nLinear Algebra<br \/>\nData Visualization<br \/>\nRetrieving, Processing, and Storing Data<br \/>\nCleaning Messy Data<br \/>\nSignal Processing and Time Series<br \/>\nSupervised Learning \u2013 Regression Analysis<br \/>\nSupervised Learning \u2013 Classification Techniques<br \/>\nUnsupervised Learning \u2013 PCA and Clustering<br \/>\nAnalyzing Textual Data<br \/>\nAnalyzing Image Data<br \/>\nParallel Computing using Dask<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 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\u0645\u0627\u0634\u06cc\u0646 \u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0624\u0644\u0641\u0647 \u0627\u0635\u0644\u06cc (PCA) \u0648 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u060c \u0628\u0627 \u067e\u0631\u062f\u0627\u0632\u0634 \u0647\u0648\u0634\u0645\u0646\u062f \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u06cc\u06cc\u062f.\u062f\u0631 \u0641\u0635\u0644 \u0647\u0627\u06cc \u067e\u0627\u06cc\u0627\u0646\u06cc \u060c \u0634\u0645\u0627 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0631\u0648\u06cc \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u062a\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u06cc \u0648 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc (NLP) \u0648 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u0635\u0648\u06cc\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0646\u06cc\u062f.\u0633\u0631\u0627\u0646\u062c\u0627\u0645 \u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0645\u0648\u0627\u0632\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 DASK \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u0634\u0645\u0627 \u0628\u0647 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u062a\u0647\u06cc\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u062c\u0647\u0632 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u0648 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0639\u0646\u06cc \u062f\u0627\u0631 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u062f.<br \/>\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n<p>\u0639\u0644\u0648\u0645 \u062f\u0627\u062f\u0647 \u0648 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0646 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f<br \/>\n\u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 numpy \u0648 pandas \u0628\u0631\u0627\u06cc \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u060c \u062a\u0645\u06cc\u0632 \u06a9\u0631\u062f\u0646 \u0648 \u0631\u0633\u06cc\u062f\u06af\u06cc \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u06af\u0645\u0634\u062f\u0647 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f<br \/>\n\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Matplotlib \u060c Seaborn \u0648 Bokeh \u060c \u062a\u062c\u0633\u0645 \u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0648 \u0630\u062e\u06cc\u0631\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0642\u0627\u0644\u0628 \u0647\u0627<br \/>\n\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0645\u0647\u0646\u062f\u0633\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627 \u0648 Scikit-Learn \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f<br \/>\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0686\u0631\u062e\u0647 SunSpot \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f<br \/>\n\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u06cc \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0627 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0645\u0648\u0627\u0632\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 DASK \u0633\u0631\u0639\u062a \u0628\u06af\u06cc\u0631\u06cc\u062f<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u06cc \u0627\u0633\u062a<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u0627\u0646 \u062f\u0627\u062f\u0647 \u060c \u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u0627\u0646 \u062a\u062c\u0627\u0631\u062a \u060c \u0622\u0645\u0627\u0631\u0634\u0646\u0627\u0633\u0627\u0646 \u0648 \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u062d\u0648\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0647\u0633\u062a\u0646\u062f.\u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0648 \u062f\u0627\u0646\u0634\u06a9\u062f\u0647 \u0647\u0627\u06cc \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u0622\u0645\u0648\u0632\u0634 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062f\u0633\u062a\u06cc \u0645\u0641\u06cc\u062f \u0645\u06cc \u062f\u0627\u0646\u0646\u062f.\u062f\u0631\u06a9 \u0627\u0633\u0627\u0633\u06cc \u0627\u0632 \u062f\u0627\u0646\u0634 \u0631\u06cc\u0627\u0636\u06cc \u0648 \u06a9\u0627\u0631 \u0627\u0632 \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0628\u0627 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f.<br \/>\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<p>\u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646<br \/>\n\u0646\u0648\u0645\u067e\u06cc \u0648 \u067e\u0627\u0646\u062f\u0627<br \/>\n\u0622\u0645\u0627\u0631<br \/>\n\u062c\u0628\u0631 \u062e\u0637\u06cc<br \/>\n\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627<br \/>\n\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0648 \u0630\u062e\u06cc\u0631\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627<br \/>\n\u062a\u0645\u06cc\u0632 \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u06a9\u062b\u06cc\u0641<br \/>\n\u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0648 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u062d\u062a \u0646\u0638\u0627\u0631\u062a &#8211; \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u062d\u062a \u0646\u0638\u0627\u0631\u062a &#8211; \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a &#8211; PCA \u0648 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc<br \/>\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u06cc<br \/>\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631<br \/>\n\u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0645\u0648\u0627\u0632\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 dask<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 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\u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, [&hellip;]<\/p>\n","protected":false},"featured_media":31908,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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