धन उगाहना 15 सितंबर, 2024 – 1 अक्टूबर, 2024 धन उगाहने के अभियान के बारे में

Python Machine Learning for Beginners: Learning from...

Main
Computers - Databases
Python Machine Learning for Beginners:...

Python Machine Learning for Beginners: Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, SKlearn and TensorFlow 2.0 for Machine Learning & Deep Learning- With Exercises and Hands-on Projects

Publishing, AI

5.0 / 5.0

यह पुस्तक आपको कितनी अच्छी लगी?

फ़ाइल की गुणवत्ता क्या है?

पुस्तक की गुणवत्ता का मूल्यांकन करने के लिए यह पुस्तक डाउनलोड करें

डाउनलोड की गई फ़ाइलों की गुणवत्ता क्या है?

श्रेणियाँ:

Computers - Databases

साल:

2020

प्रकाशन:

AI Publishing LLC

भाषा:

english

ISBN 10:

1734790156

ISBN 13:

9781734790153

फ़ाइल:

EPUB, 10.05 MB

IPFS:

,

english, 2020

ऑनलाइन पढ़ें

में रूपांतरण जारी है

में रूपांतरण विफल रहा

आप के लिए दिलचस्प हो सकता है

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

Algore, Matt — Machine Learning With Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization

LazyProgrammer — Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)

Lazy Programmer — Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis

Jason Brownlee — Machine Learning Mastery with Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End

Programming Languages Academy — Python Workbook: Learn How to Quickly and Effectively Program with Exercises, Projects, and Solutions

Hack, Samuel — Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications

Paul Deitel — Intro to Python forComputer Science and Data Science : Learning to Program with AI, Big Data and the Cloud

Moubachir Madani Fadoul — Python Machine Learning: Machine Learning And Deep Learning From Scratch Illustrated With Python, Scikit-Learn, Keras, Theano And Tensorflow

Jason Brownlee — Long Short-Term Memory Networks With Python: Develop Sequence Prediction Models With Deep Learning

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.

Academy, Tech Ed — PYTHON: Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data Science and Machine Learning with the Complete Python for Beginners Crash Course - 4 Books in 1

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)

Jason Brownlee — Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python

Josh Hugh Learning — Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.

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.

Andrew Park — Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business

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)

CODING, MARK — Machine Learning with Python: A Step by Step Guide for Absolute Beginners to Program Artificial Intelligence with Python. Neural Networks and Data Science from Pre-Processing to Deep Learning

Steve Blair — 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

Dedov, Florian — The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM)

Eli Bressert — SciPy and NumPy: An Overview for Developers

Wes McKinney — Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

it-ebooks — Sklearn 与 TensorFlow 机器学习实用指南第二版

Tom Hope, Yehezkel S. Resheff, Itay Lieder — Learning TensorFlow

Aurelien Geron — Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Anirudh Koul, Siddha Ganju, Meher Kasam — Practical Deep Learning for Cloud and Mobile

Seth Weidman — Deep Learning from Scratch

Jeremy Howard, Sylvain Gugger — Deep Learning for Coders With Fastai and Pytorch: AI Applications Without a PhD

Laurence Moroney — AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Francois Chollet — Deep Learning with Python, 2nd Edition (Final Release)

Chris A. Mattmann — Machine Learning with TensorFlow

Frances Buontempo — Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions

Krishna Rungta — TensorFlow in 1 Day Make your own Neural Network

Peters Morgan — Data Analysis from Scratch with Python

AI Publishing — Data Science Crash Course for Beginners: Fundamentals and Practices with Python

Publishing, AI — Python Scikit- Learn for Beginners: Scikit- Learn Specialization for Data Scientist

AI Publishing — Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python

Publishing, AI — Hands-On Python Programming For Beginners

Yuxi (Hayden) Liu — Python Machine Learning By Example: The Easiest Way to Get into Machine Learning

Duncan M. McGreggor — Mastering matplotlib: A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

सबसे उपयोगी शब्द

जुड़े हुए बुकलिस्ट