If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.
George Mount of Stringfest Analytics shows business analysts, data analysts, and β¦
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ ZIP (pdf+epub)ΠΠ°Π·ΠΎΠ²Π°Ρ ΠΊΠ½ΠΈΠ³Π° ΠΏΠΎ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠΈΠΈ Π΄Π°Π½Π½ΡΡ . Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΡΠ΅ Π°ΡΠΏΠ΅ΠΊΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ Π°ΡΡ ΠΈΡΠ΅ΠΊΡΡΡ Π΄Π°Π½Π½ΡΡ , Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠ»Π½ΡΠΉ ΠΆΠΈΠ·Π½Π΅Π½Π½ΡΠΉ ΡΠΈΠΊΠ» ΡΠ°Π±ΠΎΡΡ Ρ Π΄Π°Π½Π½ΡΠΌΠΈ: ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ°, ΠΏΠΎΠ³Π»ΠΎΡΠ΅Π½ΠΈΠ΅, ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅, ΠΎΡΠΈΡΡΠΊΠ°, ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠ΅, ΠΎΡΠΊΠ΅ΡΡΡΠ°ΡΠΈΡ, ΠΊΠΎΠ½Π²Π΅ΠΉΠ΅ΡΠΈΠ·Π°ΡΠΈΡ. ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΎΠ±Π»Π°ΡΠ½ΡΠΌ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠΌ, ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π½Π°Π³ΡΡΠ·ΠΊΠΈ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΠΌΡ Ρ ΡΠ°Π½Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ . Π Π°Π·ΠΎΠ±ΡΠ°Π½Ρ ΠΏΡΠΈΡΠΌΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΏΡΠΎΡΠΎΠ², ΡΠ°Π±ΠΎΡΡ Ρ Π±Π°Π·Π°ΠΌΠΈ Π΄Π°Π½Π½ΡΡ ΠΈ ΠΎΡΡΠ»Π΅ΠΆΠΈΠ²Π°Π½ΠΈΡ ΠΏΠΎΡΠΎΠΊΠΎΠ² Π΄Π°Π½Π½ΡΡ . ΠΠ½ΠΈΠ³Π° Π΄Π°ΡΡ ΠΈΡΡΠ΅ΡΠΏΡΠ²Π°ΡΡΠ΅Π΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΎ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌ Π΄Π»Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π·Π½ΠΎΡΠΎΠ΄Π½ΡΡ Π΄Π°Π½Π½ΡΡ , ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½ΠΈΠΈ ΡΡΠΈΡ ΡΠΈΡΡΠ΅ΠΌ Π² ΡΠΏΠΎΡΡΠ΄ΠΎΡΠ΅Π½Π½ΠΎΠΌ ΠΈ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΠΌ β¦
Π ΡΡΡΠΊΠΈΠΉ PDFΠΠ΅Π· Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠ΅ΠΉΡΠ°Ρ Π½Π΅ ΠΎΠ±Ρ ΠΎΠ΄ΠΈΡΡΡ Π½ΠΈ ΠΎΠ΄ΠΈΠ½ Π±ΠΈΠ·Π½Π΅Ρ. ΠΡΠΎΠ³ΠΈ ΠΏΡΠΎΠ΄Π°ΠΆ, ΠΌΠ΅ΡΡΡΠ½ΡΠ΅ ΠΎΡΡΠ΅ΡΡ, ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΠΈΠΈ Π½ΠΎΠ²ΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² — Π²ΡΠ΅ ΡΡΠΎ ΠΏΡΠΈΠΌΠ΅ΡΡ ΡΠΎΠ³ΠΎ, ΡΡΠΎ Π²Π°ΠΆΠ½ΠΎ ΠΈ Π½ΡΠΆΠ½ΠΎ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ.
Π§Π΅ΠΌ Π½Π°Π³Π»ΡΠ΄Π½Π΅Π΅ Π³ΡΠ°ΡΠΈΠΊΠΈ, ΡΠ΅ΠΌ Π²Π΅ΡΠΎΠΌΠ΅Π΅ «ΡΠΌΠΎΡΡΡΡΡΡ» Π²Π°ΡΠΈ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΡ. ΠΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄ΠΎΠ»ΠΆΠ½Ρ Π±ΡΡΡ ΡΡΠ½ΡΠΌΠΈ, ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΈ ΡΠ±Π΅Π΄ΠΈΡΠ΅Π»ΡΠ½ΡΠΌΠΈ.
Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΡΡΠΎΠ³ΠΎ ΡΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²Π° ΠΏΠΎ ΠΎΡΠ½ΠΎΠ²Π°ΠΌ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π΄Π°Π½Π½ΡΡ Π²Ρ ΡΠΌΠΎΠΆΠ΅ΡΠ΅:
Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.
With only a basic understanding of Python and high school math, you’ll be able to effortlessly work through the book and start implementing data β¦
The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection.
In this updated edition, a β¦
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ ZIP (pdf+epub)As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.
FEATURES:
ΠΠ½ΠΈΠ³Π° ΡΠ°ΡΡΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΎ ΠΏΡΠΎΠ΄Π²ΠΈΠ½ΡΡΡΡ ΠΏΡΠΈΡΠΌΠ°Ρ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ ΠΈ Π½Π°ΡΠΊΠΈ ΠΎ Π΄Π°Π½Π½ΡΡ (data science) Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π·Π°Π΄Π°Ρ, ΡΠ΅ΡΠ°Π΅ΠΌΡΡ Π½Π° Π²ΡΠ΅ΠΌΠΈΡΠ½ΠΎ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ΅ Kaggle. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ (Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΡΡ ΠΈΠ½ΡΠ΅ΡΠ²ΡΡ Ρ Kaggle-Π³ΡΠΎΡΡΠΌΠ΅ΠΉΡΡΠ΅ΡΠ°ΠΌΠΈ), ΠΊΠ°ΠΊ ΡΡΡΡΠΎΠ΅Π½Π° ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ° Kaggle ΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΡΠ΅ Π½Π° Π½Π΅ΠΉ ΡΠΎΡΠ΅Π²Π½ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ·Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ°Π·Π²ΠΈΡΡ Π½Π΅ΠΎΠ±Ρ ΠΎΠ΄ΠΈΠΌΡΠ΅ Π½Π°Π²ΡΠΊΠΈ ΠΈ ΡΠΎΠ±ΡΠ°ΡΡ ΠΏΠΎΡΡΡΠΎΠ»ΠΈΠΎ ΠΏΠΎ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠΌΡ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ, Π°Π½Π°Π»ΠΈΠ·Ρ Π΄Π°Π½Π½ΡΡ , ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ·ΡΠΊΠ°, ΡΠ°Π±ΠΎΡΠ΅ Ρ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π°ΠΌΠΈ. ΠΠΎΠ΄ΠΎΠ±ΡΠ°Π½ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΡΠΉ ΠΏΡΠ» Π·Π°Π΄Π°Ρ, ΠΎΡ Π²Π°ΡΡΠ²Π°ΡΡΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΈ ΠΎΡΠ΅Π½ΠΎΡΠ½ΡΠ΅ β¦
Π ΡΡΡΠΊΠΈΠΉ DJVUAre you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python.
The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform β¦
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ PDFGoogle Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you.
This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI β¦
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ PDF ΠΡΠ΅ ΠΌΡ Ρ
ΠΎΡΠΈΠΌ ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΡΡΠΏΠ΅ΡΠ½ΡΡ ΠΊΠ°ΡΡΠ΅ΡΡ. ΠΠ°ΠΊ Π½Π°ΠΉΡΠΈ ΠΊΠ»ΡΡ ΠΊ Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠΌΡ ΡΡΠΏΠ΅Ρ
Ρ Π² Data Science? ΠΠ»Ρ ΡΡΠΎΠ³ΠΎ ΠΏΠΎΠ½Π°Π΄ΠΎΠ±ΡΡΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½ΠΎΡ-Ρ
Π°Ρ, Π½ΠΎ ΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΡΠ΅ «ΠΌΡΠ³ΠΊΠΈΠ΅ Π½Π°Π²ΡΠΊΠΈ». ΠΠΈΡΡ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½ΠΈΠ² ΠΎΠ±Π° ΡΡΠΈΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ°, ΠΌΠΎΠΆΠ½ΠΎ ΡΡΠ°ΡΡ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΡΠΌ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠΌ.
Π£Π·Π½Π°ΠΉΡΠ΅, ΠΊΠ°ΠΊ ΠΏΠΎΠ»ΡΡΠΈΡΡ ΠΏΠ΅ΡΠ²ΡΡ ΡΠ°Π±ΠΎΡΡ Π² Data Science ΠΈ ΠΏΡΠ΅Π²ΡΠ°ΡΠΈΡΡΡΡ Π² ΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΡΠ΄Π½ΠΈΠΊΠ° Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ! Π§Π΅ΡΠΊΠΈΠ΅ ΠΈ ΠΏΡΠΎΡΡΡΠ΅ ΠΈΠ½ΡΡΡΡΠΊΡΠΈΠΈ Π½Π°ΡΡΠ°Ρ Π²Π°Ρ ΡΠΎΡΡΠ°Π²Π»ΡΡΡ ΠΏΠΎΡΡΡΡΠ°ΡΡΠΈΠ΅ ΡΠ΅Π·ΡΠΌΠ΅ ΠΈ Π»Π΅Π³ΠΊΠΎ ΠΏΡΠΎΡ
ΠΎΠ΄ΠΈΡΡ ΡΠ°ΠΌΡΠ΅ ΡΠ»ΠΎΠΆΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΡΠ²ΡΡ.
β¦
Π ΠΊΠ½ΠΈΠ³Π΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΈΠ΅ΠΌΡ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ . Π Π°ΡΡΠΊΠ°Π·Π°Π½ΠΎ, ΠΊΠ°ΠΊ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°ΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ Π² Excel ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΅Π³ΠΎ Π΄Π»Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΈ Π°Π½Π°Π»ΠΈΠ·Π°. ΠΠΏΠΈΡΠ°Π½ ΠΏΠ΅ΡΠ΅Π½ΠΎΡ Π΄Π°Π½Π½ΡΡ ΠΈΠ· Excel Π² R, ΡΠ·ΡΠΊ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ ΠΎΡΠΊΡΡΡΡΠΌ ΠΈΡΡ ΠΎΠ΄Π½ΡΠΌ ΠΊΠΎΠ΄ΠΎΠΌ, ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠΉ Π΄Π»Ρ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. ΠΡΠ΄Π΅Π»ΡΠ½ΡΠΉ ΡΠ°Π·Π΄Π΅Π» ΠΏΠΎΡΠ²ΡΡΠ΅Π½ ΠΏΠ΅ΡΠ΅Π½ΠΎΡΡ Π΄Π°Π½Π½ΡΡ ΠΈΠ· Excel Π² Python ΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ ΡΡΠΎΠ³ΠΎ ΡΠ·ΡΠΊΠ°. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΡΠΈΡΠ°ΡΠ΅Π»Ρ Π½Π°ΡΡΠΈΡΡΡ Π²ΡΠΏΠΎΠ»Π½ΡΡΡ ΡΠ°Π·Π²Π΅Π΄ΠΎΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ (Exploratory Data β¦
Π ΡΡΡΠΊΠΈΠΉ PDFΠ‘Π΅Π³ΠΎΠ΄Π½Ρ ΡΡΡΡΡΠΈ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ ΡΠΎΠ±ΠΈΡΠ°ΡΡ ΠΈ ΡΠΎΡ ΡΠ°Π½ΡΡΡ Π±ΠΎΠ»ΡΡΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΡΠ²ΠΎΠΈΡ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ², Π°ΡΡΠΎΡΡΠΈΠΌΠ΅Π½ΡΠ΅, ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΈ Π΄ΡΡΠ³ΠΈΡ Π½Π΅ΠΌΠ°Π»ΠΎΠ²Π°ΠΆΠ½ΡΡ Π΄Π»Ρ Π±ΠΈΠ·Π½Π΅ΡΠ° Π²Π΅ΡΠ°Ρ . ΠΠ΄Π½Π°ΠΊΠΎ, ΡΡΠΎΠ±Ρ ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΠΈΡ Π΄Π°Π½Π½ΡΡ , Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΠΈΡ ΠΏΡΠΎΡΡΠΎ ΡΠΎΠ±ΡΠ°ΡΡ – Π½ΡΠΆΠ½ΠΎ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎ ΠΈΡ ΠΎΠ±ΡΠ°Π±ΠΎΡΠ°ΡΡ ΠΈ ΠΏΡΠΎΠ²Π΅ΡΡΠΈ Π³ΡΠ°ΠΌΠΎΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·. ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΡΡΠΎΠΉ ΠΊΠ½ΠΈΠ³Π΅ Π²Ρ ΠΎΡΠ²ΠΎΠΈΡΠ΅ Π²ΡΠ΅ Π½Π΅ΠΎΠ±Ρ ΠΎΠ΄ΠΈΠΌΡΠ΅ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡ Π΄Π»Ρ Ρ ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° Π΄Π°Π½Π½ΡΡ , Π½Π°ΡΡΠΈΡΠ΅ΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎ ΡΠΏΡΠ°Π²Π»ΡΡΡ ΠΈΠΌΠΈ ΠΈ ΠΈΠ·Π²Π»Π΅ΠΊΠ°ΡΡ ΠΏΠΎΠ»Π΅Π·Π½ΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ Π΄Π»Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π±ΠΈΠ·Π½Π΅ΡΠ°.
Π ΡΡΡΠΊΠΈΠΉ PDFData science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to data science.
Examples are provided in Python, drawn from popular packages such as NumPy and pandas. β¦
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ PDFOrganized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and β¦
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ PDFMinimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results.
ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ PDF