Master Machine Learning - From Zero to Your First Predictive Model Machine learning is no longer a tool reserved for tech giants. Today, anyone with curiosity, data, and a laptop can build predictive models that drive smarter decisions in business, healthcare, finance, and beyond. Mastering Machine Learning: Build Your First Predictive Model is your step-by-step guide to understanding machine learning concepts and applying them through practical projects. With hands-on tutorials, clear explanations, and real-world ...
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Master Machine Learning - From Zero to Your First Predictive Model Machine learning is no longer a tool reserved for tech giants. Today, anyone with curiosity, data, and a laptop can build predictive models that drive smarter decisions in business, healthcare, finance, and beyond. Mastering Machine Learning: Build Your First Predictive Model is your step-by-step guide to understanding machine learning concepts and applying them through practical projects. With hands-on tutorials, clear explanations, and real-world case studies, this book gives you the skills and confidence to create models that work. Inside, you'll discover: The foundations of AI, machine learning, and deep learning explained in plain language. How to collect, prepare, and clean data for accurate models. Exploratory Data Analysis (EDA) and visualization techniques with Python. Building classification and regression models including logistic regression, decision trees, and gradient boosting. Feature engineering, pipelines, and hyperparameter tuning. Debugging models and avoiding common pitfalls. Ensemble methods and boosting techniques like Random Forests and LightGBM. Deploying your models with FastAPI, Docker, and MLOps basics . Auditing models for fairness, ethics, and explainability . Real-world case studies in manufacturing, healthcare, and logistics. By the end of this book, you'll not only understand machine learning theory but also have a portfolio of working projects to showcase your skills.
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