BOOKS - PROGRAMMING - Learning Data Science Data Wrangling, Exploration, Visualizatio...
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final) - Sam Lau, Joseph Gonzalez, Deborah Nolan 2023 EPUB RETAIL COPY O’Reilly Media, Inc. BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
70359

Telegram
 
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Author: Sam Lau, Joseph Gonzalez, Deborah Nolan
Year: 2023
Pages: 594
Format: EPUB RETAIL COPY
File size: 15.7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Programming Skills for Data Science Start Writing Code to Wrangle, Analyze, and Visualize Data with R
Data Smart: Using Data Science, 2nd Ed. Jordan Goldmeier
Data Science and Big Data Analytics in Smart Environments
Advances in Data Science Symbolic, Complex, and Network Data
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data … Enterprise Strategies (English Edition)
Data Science and Machine Learning Applications in Subsurface Engineering
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Just Enough Data Science and Machine Learning Essential Tools and Techniques
Data Science with Machine Learning Python Interview Questions
Scaling Python with Dask: From Data Science to Machine Learning
Data Science and Machine Learning Applications in Subsurface Engineering
Just Enough Data Science and Machine Learning Essential Tools and Techniques
Data Science and Machine Learning Applications in Subsurface Engineering
Introduction to Statistical and Machine Learning Methods for Data Science
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Python Data Science An Ultimate Guide for Beginners to Learn Fundamentals of Data Science Using Python
Practical Data Wrangling (+code)
Minimalist Data Wrangling with Python
Minimalist Data Wrangling with Python
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
Advanced Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Third Early Release)
Data Science in Chemistry Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter (De Gruyter Textbook)
Data Engineering and Data Science Concepts and Applications
Data Science and Data Analytics Opportunities and Challenges
Data Science Fundamentals with R, Python, and Open Data
Probability and statistics for data science math + R + data