Pomoc Live Chat OD O,OOZŁ
ODBIERZ TWÓJ BONUS :: »
Książki Ebooki Kursy video Audiobooki Promocje Nowości Bestsellery Darmowe ebooki
Pobierz aplikację Bony Podaruj prezent

TOP tytuł w super cenie » 50% taniej

Let Us Learn Machine Learning Yashavant Kanetkar

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Let Us Learn Machine Learning Yashavant Kanetkar - okladka książki

Let Us Learn Machine Learning Yashavant Kanetkar - okladka książki

Let Us Learn Machine Learning Yashavant Kanetkar - audiobook MP3

Let Us Learn Machine Learning Yashavant Kanetkar - audiobook CD

Autor:
Yashavant Kanetkar
Wydawnictwo:
BPB Publications (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
574
Dostępne formaty:
     ePub
     Mobi
Ebook
125,10 zł 139,00 zł (-10%)
139,00 zł najniższa cena z 30 dni

Dodaj do koszyka Dostępny natychmiast po opłaceniu zakupu lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

Description
Data is everywhere, but data by itself has little value unless we can learn from it. Let us Learn Machine Learning takes you on a step-by-step journey from raw data to intelligent predictions. Beginning with data preparation and exploration, the book explains how to build, evaluate, and improve machine learning models using techniques such as Linear Regression, Logistic Regression, SVM, KNN, Naive Bayes, Decision Trees, Bagging, Boosting, and more. Along the way, you will learn how to engineer features, select the right models, reduce dimensionality, and deal with real-world challenges such as overfitting and imbalanced datasets.

Written in a simple, practical style, this book focuses on developing intuition as much as technical skill, making machine learning accessible to students, developers, and professionals alike.

Each chapter contains:
Lucid explanation of the concept.
Well thought-out, fully working programming examples.
End-of-chapter exercises to practice the skills learned in the chapter.

What you will learn
Build a complete, end-to-end ML pipeline - ingest data from CSV, SQL, APIs, and web scraping; clean and preprocess it; and explore it through univariate, bivariate, and multivariate EDA.
Engineer better features - apply encoding, feature scaling (standardization and normalization), transformations (log, square-root, Box-Cox), missing-value imputation, and outlier detection.
Master the core supervised algorithms - Linear and Logistic Regression, SVM, KNN, Nave Bayes, and Decision Trees, each built up from intuition to math to working Python code.
Control overfitting and boost accuracy - understand the bias-variance trade-off, apply Ridge/Lasso/Elastic Net regularization, and combine models with bagging, Random Forests, and boosting (XGBoost, LightGBM, CatBoost).
Evaluate, tune, and go beyond labels - choose the right metrics (precision, recall, F1, ROC-AUC, R), use cross-validation and hyperparameter tuning while avoiding data leakage, and uncover hidden structure with dimensionality reduction (PCA) and clustering (K-Means, hierarchical).

Who this book is for
This book is for anyone beginning their machine learning journey - undergraduate and graduate students, software developers and engineers, data analysts, aspiring data scientists, and working professionals switching careers. If you know basic Python and high-school math and want to build real intuition alongside practical skills, this book is for you. No advanced mathematics required.

Table of Contents
1. Introduction To Machine Learning
2. End-to-End ML Project
3. Data Ingestion
4. Data Processing
5. Exploratory Data Analysis
6. Feature Engineering - I
7. Feature Engineering - II
8. Linear Models
9. Bias Variance Trade-off

Wybrane bestsellery

Selling helion.pl
nformacja o grafice AI Informacja o grafice AI Wybrane elementy graficzne tej sekcji powstały przy wsparciu AI

BPB Publications - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki
Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
125,10 zł
Dodaj do koszyka

Wydawnictwo Naukowe Helion »

Grafika Wydawnictwo Naukowe Helion. Dołącz do nas!
Zamknij Pobierz aplikację mobilną Ebookpoint