Data Science Ebook

Data Science Ebook

Rs. 9,000.00
Rs. 9,000.00
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Data Science Ebook
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  • Data Science Ebook
Data Science Ebook
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Data Science Ebook

Rs. 9,000.00
Rs. 9,000.00

Master Data Science: The Complete Beginner to Pro Bootcamp (Ebook)

Unlock your future in AI, Machine Learning, and Big Data.

Are you ready to transition from spreadsheet anxiety to predictive modeling mastery? The Data Science Ebook is your all-in-one, code-heavy curriculum designed to take you from zero coding experience to building your own Machine Learning models.

šŸ“Š What You Will Learn (The Complete Roadmap):

  • Module 1: Python for Data Science: Master NumPy (Arrays), Pandas (DataFrames), and data visualization with Matplotlib & Seaborn.

  • Module 2: Statistics & Probability: The engine of Data Science. Learn distributions, hypothesis testing, Bayes' Theorem, and p-values.

  • Module 3: Data Wrangling: Real-world data is dirty. Learn to clean, impute missing values, handle outliers, and merge datasets.

  • Module 4: Exploratory Data Analysis (EDA): Uncover hidden patterns and insights using visual analytics and statistical summaries.

  • Module 5: Machine Learning Fundamentals:

    • Regression: Linear, Ridge, Lasso (Predicting numbers).

    • Classification: Logistic Regression, Decision Trees, Random Forests (Predicting categories).

    • Clustering: K-Means, Hierarchical (Unsupervised learning).

  • Module 6: Feature Engineering & Selection: Improve model accuracy by creating and selecting the right features.

  • Module 7: Model Evaluation: Cross-validation, ROC Curves, Confusion Matrices, and Precision/Recall.

  • Module 8: Intro to Big Data & SQL: Query databases and understand the ecosystem (Hadoop/Spark basics).

šŸŽÆ Who Is This Book For?

  • Aspiring Data Scientists looking for a structured curriculum.

  • Analysts who want to level up from Excel to Python.

  • Developers adding Machine Learning to their skillset.

  • Students needing a practical supplement to university textbooks.

šŸ”„ Why This Ebook is Different:

  • Code First: Every chapter includes copy-pasteable Python code snippets.

  • Real Projects: Predict housing prices, classify emails (spam detection), and cluster customers.

  • No Fluff: Straight to the point. Theory is explained because it applies to the code.

  • Modern Tools: Covers the latest versions of Scikit-learn, Pandas 2.0, and Seaborn.

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