Data Analysis and Visualization with Python: From Pandas, NumPy and Scikit-Learn to Advanced Modeling Techniques

Price: $19.99
(as of Dec 16,2024 09:35:06 UTC – Details)

ASIN ‏ : ‎ B0DNY1114Z
Publisher ‏ : ‎ Independently published (November 23, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 371 pages
ISBN-13 ‏ : ‎ 979-8301064364
Item Weight ‏ : ‎ 2.34 pounds
Dimensions ‏ : ‎ 8.5 x 0.84 x 11 inches

Data analysis and visualization are essential skills in today’s data-driven world. Python has become one of the most popular languages for performing these tasks, thanks to libraries like Pandas, NumPy, and Scikit-Learn that make working with data easy and efficient.

In this post, we will explore how to use these libraries to analyze and visualize data, from basic operations like cleaning and manipulating datasets to more advanced modeling techniques.

First, we will start by importing the necessary libraries and loading a dataset using Pandas. We will then cover basic data manipulation operations like filtering, sorting, and grouping data using Pandas and NumPy.

Next, we will move on to data visualization using libraries like Matplotlib and Seaborn. We will explore different types of plots like scatter plots, histograms, and bar charts to visualize the data and gain insights from it.

Finally, we will delve into more advanced modeling techniques using Scikit-Learn, such as linear regression, decision trees, and neural networks. We will cover topics like model evaluation, hyperparameter tuning, and cross-validation to build accurate and reliable models.

By the end of this post, you will have a solid understanding of how to perform data analysis and visualization using Python and be equipped with the knowledge to apply advanced modeling techniques to real-world datasets. So, grab your favorite dataset and let’s dive into the world of data analysis and visualization with Python!
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