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datawranglinginR
Using arrange() verb
deep-neural-network
You have been asked by the local police department to produce a Deep Learning model for license plate reading. Your input data are images of digits, 28 pixels wide and 28 pixels tall, each with a label stating which of the 10 possible digits is present on the picture.Visualizing-COVID-19
Visualize the rise of COVID-19 cases globallygithub-slideshow
A robot powered training repository π€One-liner-modeling-Convolutional-neural-network-
Specify the default number of kernels as 32. Specify the default kernel size as (3, 3). Fix the optimizer type as "adam". Set "accuracy" as the optimization metric.filtering-for-one-year-
How to use the filter verb?Data-manipulation-in-R-dplyr-
Selecting and Transforming dataNLP
regular expressions: re.split() and re.findall()Advanced-NLP
Hashtags-and-mentions-in-Russian-tweets
SQL-Querying-PostgreSQL-
It's not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly ingredient required for a country's citizens to lead comfortable lives. The World Bank is the organization that provides debt to countries. In this notebook, we are going to analyze international debt data collected by The World Bank. The dataset contains information about the amount of debt (in USD) owed by developing countries across several categories. We are going to find the answers to questions like: What is the total amount of debt that is owed by the countries listed in the dataset? Which country owns the maximum amount of debt and what does that amount look like? What is the average amount of debt owed by countries across different debt indicators?Love Open Source and this site? Check out how you can help us
