Data analysts in modern data-driven Enterpriseswant to be empowered with powerful new-age tools and strategies to extract a wealth of actionable insights at the speed of business in near real-time. Python, with its diverse libraries, packages, and frameworks, can democratize data an...
In this step-by-step tutorial, you'll learn the fundamentals of descriptive statistics and how to calculate them in Python. You'll find out how to describe, summarize, and represent your data visually using NumPy, SciPy, pandas, Matplotlib, and the built
Now that we’ve taken a quick look at the statistics, let’s perform exploratory data analysis using visualizations to get a better look at the outliers compared to the rest of the data points. There are several different visualizations that will help us understand the data and the outliers....
Perform a code review of one of the tests implemented in the SciPy library and summarize the differences in the implementation details. If you explore any of these extensions, I’d love to know. Further Reading This section provides more resources on the topic if you are looking to go deeper...
Deep learning algorithms often perform better with more data. We mentioned this in the last section. If you can’t reasonably get more data, you can invent more data. If your data are vectors of numbers, create randomly modified versions of existing vectors. ...
Name: Daily total female births in California, 1959, dtype: int64 It is often easier to perform manipulations of your time series data in a DataFrame rather than a Series object. In those situations, you can easily convert your loaded Series to a DataFrame as follows: 1 dataframe = DataFrame...
. . . . . 2-20 ode Object: Solve ODEs and perform sensitivity analysis using SUNDIALS solvers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-20 pagelsqminnorm Function: Calculate minimum-norm ...
Types of Analysis Univariate plots: Uni means “one’. So, those properties we will find out by using a single feature. Bivariate plots: In Bivariate, we will compare the exact two futures to analyze its properties. Multivariate plots: When we compare data with more than two features, ...
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We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...