BOOKS - PROGRAMMING - Python for Data Science A Practical Guide to Master Python Prog...
Python for Data Science A Practical Guide to Master Python Programming and System Administration. Discover The Essentials of Machine Learning and Artificial Intelligent Using Python Code - Cooper Turner 2020 PDF Amazon.com Services LLC BOOKS PROGRAMMING
ECO~12 kg CO²

1 TON

Views
3721

Telegram
 
Python for Data Science A Practical Guide to Master Python Programming and System Administration. Discover The Essentials of Machine Learning and Artificial Intelligent Using Python Code
Author: Cooper Turner
Year: 2020
Pages: 109
Format: PDF
File size: 0.4 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Quantitative Python Unlocking Data|s Potential with Precision A Comprehensive guide to Python in Finance
Quantitative Python Unlocking Data|s Potential with Precision A Comprehensive guide to Python in Finance
Python Coding 2 Books in 1 Python Programming and Data Analytics
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Hands-on Data Analysis and Visualization with Pandas Engineer, Analyse and Visualize Data, Using Powerful Python Libraries
Python Practical Python Programming For Beginners and Experts
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
The Python Bible for Beginners: The Ultimate Roadmap to Learn Python, Develop Practical Skills, and Kickstart Your Programming Career in Just 7 Days
The Python Bible for Beginners The Ultimate Roadmap to Learn Python, Develop Practical Skills, and Kickstart Your Programming Career in Just 7 Days
Python for Everybody Exploring Data in Python 3 (2023 Update)
Python for Everybody Exploring Data in Python 3 (2023 Update)
Python Data Science: 3 Books in 1: Hands on Learning for Beginners+A Hands-on Guide Beyond the Basics+A Hands-On Guide For Experts
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition
Python Programming for beginners Learn Python in a step by step approach, Complete practical crash course to learn Python
Python Programming A beginners’ guide to understand machine learning and master coding. Includes Smalltalk, Java, TCL, javascript, Perl, Scheme, Common Lisp, Data Science Analysis, C++, PHP & Rub
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Analytics in a Big Data World The Essential Guide to Data Science and its Applications
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
Effective Data Science Infrastructure How to Make Data Scientists Productive
Data Mining and Exploration From Traditional Statistics to Modern Data Science
R for Data Science Import, Tidy, Transform, Visualize, and Model Data
Agile Data Science Building Data Analytics Applications with Hadoop
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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 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