SKU/Artículo: AMZ-B0GBCFR74T
The AI Starter Kit: From Data to Models with Python: Volume 1: Foundations of Machine Learning (Machine Learning & Deep Learning Mastery: The Complete Hands-On Guide with Python)
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Paperback
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En stock
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1.87 kg
1.87 kg
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Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Start Your AI Journey Right. No Prior Experience Needed! Welcome to "Machine Learning Foundations with Python" - Volume 1 of the definitive, hands-on series that takes you from zero to confident AI practitioner. This book is your essential launchpad into the world of machine learning; covering everything you need to know before diving into neural networks, deep learning, or advanced architectures. Whether you are a student, self-taught coder, aspiring data scientist, or professional looking to upskill; this guide gives you practical, code-first knowledge using industry-standard tools: Python, NumPy, Pandas, OpenCV, Matplotlib, Scikit-Learn, and more. 🔥 What You will Learn in This Book:✅ Master the Core Libraries:NumPy for numerical computing.Pandas for data manipulation & cleaning.OpenCV for image handling (perfect for computer vision prep).Matplotlib/Seaborn for powerful data visualization.✅ Understand Real Data:Exploratory Data Analysis (EDA).Handling missing values, categorical variables, and data types.Visualizing distributions, correlations, and patterns.✅ Build Your First ML Models:Regression (Linear, Polynomial, Ridge, Lasso).Classification (Logistic, KNN, Decision Trees, Naive Bayes).✅ Preprocess Like a Pro:Feature Scaling & Transformation (StandardScaler, MinMax, Robust).Feature Ranking & Selection (Filter, Wrapper, Embedded methods).Handling Imbalanced Datasets (SMOTE, Class Weights, Resampling).Outlier Detection Techniques (IQR, Z-Score, Isolation Forest, DBSCAN).✅ Evaluate Models Correctly:Accuracy, Precision, Recall, F1, ROC-AUC, Confusion Matrix.Cross-validation, bias-variance tradeoff, overfitting prevention. 🎯 Who Is This Book For?✔️ Beginners who want to learn ML with real code, not just theory.✔️ Students preparing for data science interviews or projects.✔️ Professionals transitioning into AI roles.✔️ Anyone who wants to build a solid foundation before tackling deep learning. 💡 Why This Book Stands Out:🔹 No Fluff, All Code: Every concept comes with executable Python examples: copy, run, modify, learn.🔹 Project-Ready Skills: Learn how to preprocess messy real-world data; exactly what employers and Kaggle competitions demand.🔹 Smooth Transition to Volume 2: This book sets you up perfectly for deep learning, CNNs, Transformers, and advanced topics.🔹 Bonus Resources: Links to GitHub repos, cheat sheets, and datasets referenced throughout. Ready to Build Your First AI Model? Stop searching for scattered tutorials. Start here. Whether you want to land a job in AI, launch a startup, or just understand how machines "see" and learn. This book gives you the foundation, the tools, and the confidence to succeed.
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AR$399.869
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AR$181.756
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