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Tag: Matplotlib
Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
Price:$49.99– $37.93
(as of Dec 26,2024 21:44:03 UTC – Details)
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Publisher : Packt Publishing; 2nd ed. edition (May 31, 2024)
Language : English
Paperback : 486 pages
ISBN-10 : 1803239875
ISBN-13 : 978-1803239873
Item Weight : 1.85 pounds
Dimensions : 1.15 x 7.5 x 9.25 inches
Data cleaning is an essential step in any data analysis project. In order to effectively analyze and derive insights from your data, it is crucial to first clean and preprocess it. In this post, we will walk through a Python Data Cleaning Cookbook, using popular libraries such as pandas, NumPy, Matplotlib, scikit-learn, and OpenAI.1. Importing the necessary libraries:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
import openai2. Loading the dataset:
df = pd.read_csv(‘data.csv’)3. Handling missing values:
# Check for missing values
print(df.isnull().sum())# Fill missing values with mean
df.fillna(df.mean(), inplace=True)4. Removing duplicates:
# Remove duplicate rows
df.drop_duplicates(inplace=True)5. Handling outliers:
# Detect and remove outliers using Z-score
z_scores = np.abs(stats.zscore(df))
df = df[(z_scores < 3).all(axis=1)] 6. Standardizing the data:
scaler = StandardScaler()
df_scaled = scaler.fit_transform(df)7. Visualizing the data:
# Plot a histogram of a numerical column
plt.hist(df[‘column_name’])
plt.xlabel(‘Column Name’)
plt.ylabel(‘Frequency’)
plt.title(‘Histogram of Column Name’)
plt.show()8. Text data cleaning:
# Clean text data using OpenAI’s GPT-3
clean_text = openai.api.text_completion(
model=”text-davinci-003″,
prompt=”Clean the text data: ” + text_data
)By following these steps and using the powerful capabilities of libraries such as pandas, NumPy, Matplotlib, scikit-learn, and OpenAI, you can effectively prepare your data for analysis and derive meaningful insights. Happy data cleaning!
#Python #Data #Cleaning #Cookbook #Prepare #data #analysis #pandas #NumPy #Matplotlib #scikitlearn #OpenAI
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data … and Statistical Analysis (English Edition)
Price: $37.95
(as of Dec 18,2024 08:55:32 UTC – Details)
From the Publisher
Know more about the book
Publisher : Orange Education Pvt Ltd (April 4, 2024)
Language : English
Paperback : 265 pages
ISBN-10 : 8197081913
ISBN-13 : 978-8197081910
Item Weight : 1.02 pounds
Dimensions : 9.25 x 7.5 x 0.59 inches
Are you looking to take your data analysis and visualization skills to the next level? Look no further! In our latest post, we explore the ultimate Python libraries that will help you leverage the power of data analysis and visualization.From the versatile Pandas and NumPy libraries for data manipulation and calculations, to the powerful Matplotlib and Seaborn libraries for creating stunning visualizations, we’ve got you covered. Plus, we’ll introduce you to cutting-edge AI tools like Julius AI and no-code platforms for seamless data analysis and statistical analysis.
Whether you’re a beginner or an experienced data analyst, these libraries will help you unlock the full potential of your data. Don’t miss out on this essential guide to mastering data analysis and visualization with Python!
#Ultimate #Python #Libraries #Data #Analysis #Visualization #Leverage #Pandas #NumPy #Matplotlib #Seaborn #Julius #NoCode #Tools #Data #Statistical #Analysis #English #Edition
Mastering Matplotlib with Python for Developers: Effective techniques for data visualization with Python
Price: $9.99
(as of Dec 18,2024 06:00:06 UTC – Details)
ASIN : B0D736Z88G
Publication date : June 30, 2024
Language : English
File size : 7873 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 388 pages
Mastering Matplotlib with Python for Developers: Effective techniques for data visualization with PythonAre you a developer looking to take your data visualization skills to the next level? Look no further than Matplotlib, the powerful plotting library for Python. In this post, we’ll explore some key techniques for mastering Matplotlib and creating stunning visualizations for your projects.
1. Understanding the basics: Before diving into more advanced techniques, it’s important to have a solid understanding of Matplotlib’s basic syntax and functionality. Learn how to create simple plots, customize colors and styles, and add labels and annotations to your visualizations.
2. Exploring different plot types: Matplotlib offers a wide range of plot types, from simple line and scatter plots to complex heatmaps and 3D plots. Experiment with different plot types to find the best way to visualize your data.
3. Customizing your plots: Matplotlib allows for a high degree of customization, allowing you to create visually appealing and informative plots. Learn how to adjust plot size, add legends and titles, and customize axis labels and tick marks.
4. Using subplots: Subplots allow you to display multiple plots within a single figure, making it easy to compare different datasets or visualize multiple aspects of your data. Master the use of subplots to create complex and informative visualizations.
5. Incorporating interactive elements: Matplotlib can be used in conjunction with other libraries, such as Bokeh and Plotly, to create interactive visualizations that allow users to explore data in real-time. Learn how to incorporate interactive elements into your plots to create engaging and dynamic visualizations.
By mastering Matplotlib with Python, developers can create powerful and informative visualizations that enhance their projects and communicate complex data effectively. Start exploring the possibilities of Matplotlib today and take your data visualization skills to the next level.
#Mastering #Matplotlib #Python #Developers #Effective #techniques #data #visualization #Python
Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and … Learning & Data Science for Beginners)
Price: $24.99
(as of Dec 16,2024 01:04:44 UTC – Details)
Publisher : AI Publishing LLC (October 23, 2020)
Language : English
Paperback : 304 pages
ISBN-10 : 1734790156
ISBN-13 : 978-1734790153
Item Weight : 14.6 ounces
Dimensions : 6 x 0.69 x 9 inches
Welcome to our beginner’s guide to Python Machine Learning! In this post, we will cover the basics of machine learning from scratch, focusing on essential libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and TensorFlow.Machine learning is a powerful tool that allows computers to learn from data and make predictions or decisions without being explicitly programmed. Python is one of the most popular programming languages for machine learning due to its simplicity and extensive libraries for data manipulation and visualization.
To start your journey in Python Machine Learning, it is essential to understand the basics of NumPy and Pandas. NumPy is a library for numerical computing in Python, allowing you to perform complex mathematical operations efficiently. Pandas, on the other hand, is a powerful data manipulation tool that makes working with structured data easy and intuitive.
Once you have a solid foundation in NumPy and Pandas, you can move on to data visualization with libraries like Matplotlib and Seaborn. These libraries allow you to create stunning visualizations of your data, making it easier to understand patterns and relationships.
Next, you can explore machine learning algorithms with Scikit-learn, a comprehensive library for machine learning in Python. Scikit-learn provides a wide range of algorithms for classification, regression, clustering, and more, making it easy to train and evaluate machine learning models.
Finally, you can dive into deep learning with TensorFlow, a powerful library for building and training neural networks. TensorFlow is widely used in cutting-edge research and industry applications, making it an essential tool for anyone interested in advanced machine learning.
By mastering these essential libraries and tools, you will be well on your way to becoming a proficient Python Machine Learning practitioner. Stay tuned for more tutorials and resources on Learning & Data Science for Beginners!
#Python #Machine #Learning #Beginners #Learning #scratch #NumPy #Pandas #Matplotlib #Seaborn #Scikitlearn #TensorFlow #Machine #Learning #Learning #Data #Science #Beginners
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition)
Price: $37.95
(as of Dec 13,2024 13:40:09 UTC – Details)
From the Publisher
Know more about the book
Unlocking Visual Insights: OpenCV Made Simple and Powerful.
Unlock the captivating world of computer vision with this comprehensive guide that takes you on an enriching journey from novice to expert. Packed with step-by-step tutorials, easy-to-understand explanations, and detailed code examples, this book ensures that you grasp even the most intricate concepts effortlessly. You’ll find yourself immersed in the world of computer vision as we demystify complex algorithms and techniques with hands-on, real-world projects that bring your learning to life.
Whether you’re a seasoned developer or just starting your coding adventure, our easy-to-follow language and engaging approach make this book your ideal companion. Explore the power of OpenCV, delve into image manipulation, unravel the secrets of feature detection, and seamlessly integrate machine learning into your projects. With this book in your hands, you’ll gain the skills and confidence to conquer the dynamic field of computer vision and embark on exciting journeys of your own.
WHAT WILL YOU LEARN
● Master Image Processing and Machine Learning with OpenCV using advanced Tools and Libraries.
● Create Real-World Projects with Hands-On Experience.
● Explore Machine Learning for Computer Vision.
● Develop Confidence in Practical Computer Vision Projects.
● Conquer Real-World Image Processing Challenges.
● Apply Computer Vision Across Diverse Industries.
● Boost Your Career in Computer Vision.
WHO IS THIS BOOK FOR?
This beginner-friendly book in computer vision requires no prior experience, making it accessible to newcomers. While a basic programming understanding is helpful, it’s designed to guide individuals from diverse backgrounds into the captivating realms of AI, computer vision, and image processing.
KEY FEATURES OpenCV Mastery: Harness the full potential of OpenCV. Comprehensive Coverage: From fundamentals to advanced techniques. Practical Exercises: Apply knowledge through hands-on tasks.
About the Author
Ayush brings a wealth of experience spanning 5 years across AI, ML, and computer vision. His journey is marked by a strong commitment to technology deployment, guiding projects from initial design to final product. In his current role, Ayush is deeply engaged in computer vision projects showcasing his proficiency in creating advanced models for image processing. His career underscores his commitment to learning and practical application in the tech industry.
Meet the Technical Reviewer
Kaushal Singh, an accomplished Data Scientist and AI researcher with a rich and diverse career spanning 5 years. He is currently working as an Assistant Professor and Training and Placement Officer at the Department of Computer Science and Information Technology, School of Engineering, P P Savani University, Surat, Gujarat, with a passion for harnessing the power of data and artificial intelligence, he made significant contributions to the field through research and technical expertise. Throughout his career, he delved deep into the realms of data science and artificial intelligence, honing his skills in machine learning, deep learning, and data analysis. His proficiency extends to developing state-of-the-art AI models and leveraging data-driven insights to solve complex real-world challenges. He is not only a practitioner but also a dedicated researcher.
Copyright Disclaimer
Copyright at 2023, Orange Education Pvt Ltd, AVA
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without convincing, either express or implied.
Neither the author nor Orange Education Pvt Ltd. or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Orange Education Pvt Ltd. has endeavored to provide brand information about all of the companies and products mentioned in this book by the appropriate use of capital. However, Orange Education Pvt Ltd. cannot surety the accuracy of this information. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
First published: November 2023
Published by: Orange Education Pvt Ltd, AVA
Publisher : Orange Education Pvt Ltd (November 17, 2023)
Language : English
Paperback : 423 pages
ISBN-10 : 9390475791
ISBN-13 : 978-9390475797
Item Weight : 1.6 pounds
Dimensions : 7.5 x 0.96 x 9.25 inches
If you’re looking to take your machine learning skills to the next level, then Mastering OpenCV with Python is the book for you. In this comprehensive guide, you’ll learn how to use NumPy, Scikit, TensorFlow, and Matplotlib to implement advanced algorithms for machine learning through a series of practical projects.Whether you’re a seasoned Python programmer or just starting out, this book will provide you with the tools and techniques you need to master OpenCV and take your machine learning projects to the next level. From image processing and object detection to face recognition and deep learning, you’ll learn how to apply cutting-edge algorithms to real-world problems.
With step-by-step instructions and code examples, Mastering OpenCV with Python will help you build a solid foundation in machine learning and computer vision. So why wait? Pick up your copy today and start mastering OpenCV with Python!
#Mastering #OpenCV #Python #NumPy #Scikit #TensorFlow #Matplotlib #learn #Advanced #algorithms #Machine #Learning #set #Practical #Projects #English #Edition
