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Mastering Applied Statistics in Data Science: Core Concepts of Statistics (Mastering AI & Data Science Full Course)

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Book Details
Language
English
Publishers
Independently published (5 April 2024)
Weight
0.18 KG
Publication Date
05/04/2024
Pages
121 pages
ISBN-13
9798321993316
Dimensions
15.24 x 0.71 x 22.86 cm
SKU
9798321993316
Author Name
Husn Ara (Author)
As a seasoned Data Scientist with over 11 years of experience in Data Science & Analytics, I bring a wealth of expertise to the table. With a Master's Degree in Computer Science and a Post Graduate Diploma in Data Science, I have honed my skills in Statistical Analysis and Data Visualization tools such as Tableau, Python (Matplotlib, Seaborn, Plotly Dash), Power BI, and Excel. My proficiency extends to GenAI, Statistics, Tensorflow, and various Machine Learning techniques and algorithms.Throughout my career, I have gained extensive experience in Image Processing, Computer Vision, and Deep Learning. I am well-versed in Regression, Classification, and Segmentation approaches, with a deep understanding of Python Language for Analytics and SQL Server. Moreover, I have demonstrated expertise in building Deep Neural Networks with Tensorflow, Keras & PyTorch.My portfolio of projects encompasses a diverse range of applications, including:Face Recognition model for online attendance systemObject detection in videoCustomer churn prediction modelFraud Detection ModelRecommender System ModelTime Series AnalysisCNC machine Autonomy ProjectSentiment AnalysisText Summarization using NLPGenerative AI projects, such as Image generation by prompt Text using ChatGPT ApIRoboticsIn the realm of Healthcare Diagnosis, I have developed robust models for:Lung Cancer Detection using both Image-Based and Symptoms-Based Models with high accuracy ratesLung Infection Detection with a multi-classification approach using VGG16 ModelAdditionally, I have contributed to Environment, Social, and Governance [ESG] projects involving data cleaning, preprocessing, visualization, and presentation creation for Stockholders.Furthermore, I have experience in Object Detection in Image and video using Yolo5.With a passion for leveraging data-driven insights to solve complex problems, I am committed to delivering innovative solutions that drive business growth and improve operational efficiency.I have successfully published technical Books on Data Science like:1) Zero to Machine Learning Hero2) Mastering GenAI Zero to Hero3) Tensorflow Mastery 2.04) All About Tensorflow5) Mastering Statistics for Data Science6) Become a Pro Data Scientist7) Mastering Robotics8) Mastering Prompt Engineering for GenAI9) Large Language Models for GenAIThanks for visiting my profile!Happy LearningHusn AraRead more about this authorRead less about this author
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"Mastering Applied Statistics in Data Science" offers a comprehensive guide to understanding and applying statistical methods in the field of data science. This book covers essential statistical concepts, techniques, and tools, providing readers with the knowledge and skills needed to analyze data effectively, make informed decisions, and derive actionable insights.

Starting with foundational concepts such as descriptive statistics, probability theory, and inferential statistics, this book gradually progresses to more advanced topics such as regression analysis, hypothesis testing, and multivariate analysis. Each concept is explained in a clear and concise manner, with real-world examples and practical applications to illustrate its relevance in data science.

Readers will learn how to:Explore and visualize data using descriptive statistics, histograms, and boxplots. Understand probability distributions and their role in statistical modeling.

Conduct hypothesis tests to make inferences about population parameters. Build predictive models using regression analysis and machine learning algorithms.

Analyze relationships between multiple variables using correlation and regression techniques. Apply advanced statistical methods such as time series analysis, factor analysis, and cluster analysis.

Throughout the book, emphasis is placed on hands-on learning, with practical exercises and examples provided to reinforce key concepts. Whether you are a beginner looking to build a solid foundation in applied statistics or an experienced data scientist seeking to deepen your understanding of statistical methods, "Mastering Applied Statistics in Data Science" is an indispensable resource for mastering statistical analysis in the context of data science.

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