000			01994nam a2200217Ia 4500
005			20250220190337.0
008			250220b |||||||| |||| 00| 0 eng d
020			_a9781789537253 _qpbk.
041			_aeng
082			_a001.420285 _bSUR
100			_aSuresh Kumar Mukhiya
245		0	_aHands-on exploratory data analysis with python : _b perform eda techniques To understand, summarize, ani Investigate your data / _cSuresh Kumar Mukhiya, Usman Ahmed.
250			_a1st ed.
260			_aBirmingham, UK : _bPackt Publishing Ltd. _c2020.
300			_a352 p. : _c19.1 cm.
504			_aIncludes appendix and index.
520			_a"Hands-on Exploratory Data Analysis with Python" by Mukhiya and Ahmed provides a practical guide to mastering EDA techniques. The book emphasizes a hands-on approach, utilizing Python libraries like PyPlot, NumPy, SciPy, pandas, Matplotlib, and Seaborn. It covers the core aspects of EDA, from data cleaning and preparation to exploration and visualization. Readers learn to analyze open-source datasets, progressing from basic descriptive statistics to advanced time-series analysis. A key focus is on using EDA for model development and evaluation, culminating in building predictive models and visualizing results. The book explores data wrangling, handling missing values, identifying correlations, and performing graphical analysis. It also delves into multiple regression, hypothesis testing, and time-series analysis. Practical examples and real-world datasets are used throughout, making the concepts accessible. The book is designed for individuals interested in data analysis, including students, statisticians, data analysts, and data scientists, assuming basic Python programming and statistical knowledge. It equips readers with the skills to investigate datasets, extract insights, present findings visually, and build predictive models for informed decision-making.
650			_aComputer Science.
700			_aUsman Ahmed
942			_cENG
999			_c94443 _d94443