Ashish V Patel (17 results)

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Paperback. Condition: New. Learn the concepts of time series from traditional to bleeding-edge techniques.  This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks.You'll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and how to craft the features through data wrangling. Next, you'll look at traditional time series techniques like ARMA, SARIMAX, VAR, and VARMA using trending framework like StatsModels and pmdarima. The book also explains building classification models using sktime, and covers advanced deep learning-based techniques like ANN, CNN, RNN, LSTM, GRU and Autoencoder to solve time series problem using Tensorflow. It concludes by explaining the popular framework fbprophet for modeling time series analysis. After reading Hands-On Time Series Analysis with Python, you'll be able to apply these new techniques in industries, such as oil and gas, robotics, manufacturing, government, banking, retail, healthcare, and more. What You'll Learn:·  Explains basics to advanced concepts of time series·  How to design, develop, train, and validate time-series methodologies·  What are smoothing, ARMA, ARIMA, SARIMA,SRIMAX, VAR, VARMA techniques in time series and how to optimally tune parameters to yield best results·  Learn how to leverage bleeding-edge techniques such as ANN, CNN, RNN, LSTM, GRU, Autoencoder  to solve both Univariate and multivariate problems by using two types of data preparation methods for time series.·  Univariate and multivariate problem solving using fbprophet. Who This Book Is ForData scientists, data analysts, financial analysts, and stock market researchers.…

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Paperback. Condition: Brand New. 407 pages. 8.75x5.75x1.00 inches. In Stock.

Condition: New. pp. 364.

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Taschenbuch. Condition: Neu. Formulation and Evaluation of Colon Targeted Aceclofenac Tablet | Targeted drug delivery system | Ashish V. Patel (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659150982 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Paperback. Condition: New. Learn the concepts of time series from traditional to bleeding-edge techniques.  This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks.You'll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and how to craft the features through data wrangling. Next, you'll look at traditional time series techniques like ARMA, SARIMAX, VAR, and VARMA using trending framework like StatsModels and pmdarima. The book also explains building classification models using sktime, and covers advanced deep learning-based techniques like ANN, CNN, RNN, LSTM, GRU and Autoencoder to solve time series problem using Tensorflow. It concludes by explaining the popular framework fbprophet for modeling time series analysis. After reading Hands-On Time Series Analysis with Python, you'll be able to apply these new techniques in industries, such as oil and gas, robotics, manufacturing, government, banking, retail, healthcare, and more. What You'll Learn:·  Explains basics to advanced concepts of time series·  How to design, develop, train, and validate time-series methodologies·  What are smoothing, ARMA, ARIMA, SARIMA,SRIMAX, VAR, VARMA techniques in time series and how to optimally tune parameters to yield best results·  Learn how to leverage bleeding-edge techniques such as ANN, CNN, RNN, LSTM, GRU, Autoencoder  to solve both Univariate and multivariate problems by using two types of data preparation methods for time series.·  Univariate and multivariate problem solving using fbprophet. Who This Book Is ForData scientists, data analysts, financial analysts, and stock market researchers.…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of the study was to develop and evaluate enteric coated matrix tablet of Aceclofenac for colonic delivery by exploiting prolonged release characteristics of HPMC K4M with pH dependent solubility property of a Eudragit S100. Extended release matrix tablet were prepared by direct compression of hydrophilic polymer HPMC and other ingredients. The pH dependent release was achieved by coating matrix tablet with Eudragit S100, soluble at pH 7. All the formulations of 32 factorial design (A1- A9) were evaluated for the physicochemical parameters and subjected to in vitro drug release in 0.1 N HCl for two hour, three hour in pH 5.2 Phosphate buffer then in pH 7.4 phosphate buffer up to 17 hrs. Multiple regression analysis, two way ANOVA followed by Tukey test were performed. Polynomial equations and response surface plots were generated for all dependent variables. It was observed that both the factors had significant effect on dependable variables (Q6, Q12, Q17 and n, k). The formulation A5 was most likely to provide targeting of aceclofenac in the colon owing to its minimal release of the drug in the first 5 hr and give release up to 17hr with 62.21 similarity factor.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel Ashish V.Ashish V. Patel M.Pharm:Gujarat Technological university, IndiaThe aim of the study was to develop and evaluate enteric-coated matrix tablet of Aceclofenac for colonic delivery by exploiting prolonged release chara.…

Condition: New. Print on Demand pp. 364.

Condition: New. PRINT ON DEMAND pp. 364.