შეწირულობა 15 სექტემბერს 2024 – 1 ოქტომბერს 2024 თანხის შეგროვების შესახებ

Python Data Science: After work guide to start learning...

Main
Computers - Computer Science
Python Data Science: After work guide...

Python Data Science: After work guide to start learning Data Science on your own. Avoid common beginners mistakes of coding. Approach Panda and NumPy to become a brilliant computer programmer.

HOOD, CODING, Kölling, Michail

1.0 / 0

როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Computers - Computer Science

წელი:

2020

ენა:

english

ფაილი:

EPUB, 3.93 MB

IPFS:

,

english, 2020

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Oscar Scratch — Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and Answer from Beginners to Advanced

KUMAR, N KRISHNA — Python Beginner To Pro: Python Tutorial, File Handling, Python NumPy, Python Matplotlib, Python SciPy, Machine Learning, Python MySQL,Python MySQL, Python Reference, Module Reference, Python Examples

Herron, James — Python Programming For Beginners: The Absolute Complete Beginner’s Guide to Learn and Apply Python Programming Language Using Best Practices and Advanced Features.

Algore, Matt — Python For Data Analysis: The Ultimate and Definitive Manual to Learn Data Science and Coding With Python. Master The basics of Machine Learning, to Clean Code and Improve Artificial Intelligence

Christian Mayer (Author), Lukas Rieger (Author), Zohaib Riaz (Author) — Coffee Break NumPy

Penny, Dylan [Penny, Dylan] — Python programming: 3 Books in 1: The Complete Beginner’s Guide to Learning the Most Popular Programming Language

Alex Stark — Python Programming: The Ultimate Beginners Guide to Learn Python Machine Learning Step-by-Step

Foster, Matt — Python for Data Analysis: The Ultimate Beginner's Guide to Learn programming in Python for Data Science with Pandas and NumPy, Master Statistical Analysis, and Visualization

Test, Jason — PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included.

Sergio J. Rojas G., Erik A. Christensen, Francisco J. Blanco-Silva — Learning SciPy for Numerical and Scientific Computing

Blair, Steve — Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business

LazyProgrammer — Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano

Luis Capelo [Luis Capelo] — Beginning Application Development with TensorFlow and Keras

Wes McKinney, PyData Development Team — pandas: powerful Python data analysis toolkit

Walsh, Conley — Python for Beginners : An Essential Guide to Easy Learning with Basic Exercises : Python programming Crash Course for Data Analysis and for Beginner Hackers

Arun Kumar — Master Data Science and Data Analysis With Pandas

Jason Test — PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included.

Chan, Ben — Python for Beginners: Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science

Scratch, Jason — Python for Data Analysis: Master Deep Learning with Python Language and Become Great at Programming Python for Beginners with Hands-on Project (Data Science)

Christopher Wilkinson — Python Data Science: An Ultimate Guide for Beginners to Learn Fundamentals of Data Science Using Python

coll — PYTHON DATA SCIENCE Learn Python in a Week and Master it

Academy, Computer Programming — Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 3)

Konnor Cluster — Python Machine Learning: A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course)

Academy, Computer Programming — Python Programming: Learn Python in a Week and Master It. An Hands-On Introduction to Computer Programming and Algorithms, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 1)

Jason Test — Python Programming: 3 BOOKS IN 1 Learn machine learning, data science and analysis with a crash course for beginners. Included coding exercises for artificial intelligence, Numpy, Pandas and Ipython.

Matt Foster — Python for Data Analysis: The Ultimate Beginner's Guide to Learn programming in Python for Data Science with Pandas and NumPy, Master Statistical Analysis, and Visualization (Fragment)

Trinity, Lilly — Python Machine Learning: The Beginner's Guide To Learn Python Machine Learning Including Keras, Numpy, Scikit Learn and PyTorch.

Jacky Bai — Pandas Hands-on: Data Analysis Crash Course

Gideon Hanks — Python Programming For Beginners: A step-by-Step Guide to Coding Using Python 3 for Beginners to Pro

Computer Science Academy — Python for Data Analysis: A Complete Guide for Beginners, Including Python Statistics and Big Data Analysis.

HOOD, CODING; Kölling, Michail — C++ Programming : After work guide to master C++ on your own. Build your coding skills and learn how to solve common problems. Transform your passion in ... job career as a computer programmer.

Wall, Eric — Python Coding: Learn To Code Fast. Python For Data Analysis And Machine Learning. Advanced Methods To Learn How To Create Codes. Practical Programming Strategies For Beginners.

Adetola Abiodun — THE PANDAS HANDBOOK: 100 Essential Tips and Tricks for Beginners

Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman — Mining of Massive Datasets

Yao, Ray — NUMPY Programming, For Beginners, Quick Start Guide: Numpy Language Crash Course Tutorial & Exercises

Marty Alchin — Pro Python : advanced coding techniques and tools

Eli Bressert — SciPy and NumPy: An Overview for Developers

Allison Parrish, Ben Fry, Casey Reas — Make Getting Started with Processing.py

Robert Johansson — Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib

Gayathri Rajagopalan — A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Paul D. Crutcher, Neeraj Kumar Singh, Peter Tiegs — Essential Computer Science - A Programmer’s Guide to Foundational Concepts

VanderPlas, Jacob T — Python data science handbook: essential tools for working with data

საკვანძო ფრაზები

დაკავშირებული კოლექციები