Top 4 Repositories on GitHub to Learn Pandas

Everyone knows what Github is.

If you’re a newbie like me, you might still be afraid of touching it. While I haven’t really progressed past git commit + git push, I do know that you can use Github as more than a version control tool for your projects.

In addition to the open-source projects that anyone can commit to, Github also has countless resources you can use as learning materials.

While following an online course can be great, sometimes having extra practice can help you better retain what you previously learned. The popular sites “Codewars” and “Codekata” are one way to get extra practice every day, as you can select a language of your choice and solve as many problems as you’d like.

For those of you specifically searching for Pandas practice, you can benefit from this list of the **Top 4 Repositories on GitHub for Pandas! **There’s a repository for every level, whether you’ve just gotten started with Pandas or if you’re already looking to bring your skills from basic to advanced. I’ve included the ones with the most forks as a measure of popularity.

  • Pandas Exercises — All Topics (4k Forks)
  • Pandas Videos — All Topics w/ Videos (1.2k Forks)
  • 100 Pandas Puzzles (1k forks)
  • Pycon 2019 Tutorial — Intermediate Level (180 forks)

#github #pandas

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Top 4 Repositories on GitHub to Learn Pandas

Top 4 Repositories on GitHub to Learn Pandas

Everyone knows what Github is.

If you’re a newbie like me, you might still be afraid of touching it. While I haven’t really progressed past git commit + git push, I do know that you can use Github as more than a version control tool for your projects.

In addition to the open-source projects that anyone can commit to, Github also has countless resources you can use as learning materials.

While following an online course can be great, sometimes having extra practice can help you better retain what you previously learned. The popular sites “Codewars” and “Codekata” are one way to get extra practice every day, as you can select a language of your choice and solve as many problems as you’d like.

For those of you specifically searching for Pandas practice, you can benefit from this list of the **Top 4 Repositories on GitHub for Pandas! **There’s a repository for every level, whether you’ve just gotten started with Pandas or if you’re already looking to bring your skills from basic to advanced. I’ve included the ones with the most forks as a measure of popularity.

  • Pandas Exercises — All Topics (4k Forks)
  • Pandas Videos — All Topics w/ Videos (1.2k Forks)
  • 100 Pandas Puzzles (1k forks)
  • Pycon 2019 Tutorial — Intermediate Level (180 forks)

#github #pandas

Mikel  Okuneva

Mikel Okuneva

1603735200

Top 10 Deep Learning Sessions To Look Forward To At DVDC 2020

The Deep Learning DevCon 2020, DLDC 2020, has exciting talks and sessions around the latest developments in the field of deep learning, that will not only be interesting for professionals of this field but also for the enthusiasts who are willing to make a career in the field of deep learning. The two-day conference scheduled for 29th and 30th October will host paper presentations, tech talks, workshops that will uncover some interesting developments as well as the latest research and advancement of this area. Further to this, with deep learning gaining massive traction, this conference will highlight some fascinating use cases across the world.

Here are ten interesting talks and sessions of DLDC 2020 that one should definitely attend:

Also Read: Why Deep Learning DevCon Comes At The Right Time


Adversarial Robustness in Deep Learning

By Dipanjan Sarkar

**About: **Adversarial Robustness in Deep Learning is a session presented by Dipanjan Sarkar, a Data Science Lead at Applied Materials, as well as a Google Developer Expert in Machine Learning. In this session, he will focus on the adversarial robustness in the field of deep learning, where he talks about its importance, different types of adversarial attacks, and will showcase some ways to train the neural networks with adversarial realisation. Considering abstract deep learning has brought us tremendous achievements in the fields of computer vision and natural language processing, this talk will be really interesting for people working in this area. With this session, the attendees will have a comprehensive understanding of adversarial perturbations in the field of deep learning and ways to deal with them with common recipes.

Read an interview with Dipanjan Sarkar.

Imbalance Handling with Combination of Deep Variational Autoencoder and NEATER

By Divye Singh

**About: **Imbalance Handling with Combination of Deep Variational Autoencoder and NEATER is a paper presentation by Divye Singh, who has a masters in technology degree in Mathematical Modeling and Simulation and has the interest to research in the field of artificial intelligence, learning-based systems, machine learning, etc. In this paper presentation, he will talk about the common problem of class imbalance in medical diagnosis and anomaly detection, and how the problem can be solved with a deep learning framework. The talk focuses on the paper, where he has proposed a synergistic over-sampling method generating informative synthetic minority class data by filtering the noise from the over-sampled examples. Further, he will also showcase the experimental results on several real-life imbalanced datasets to prove the effectiveness of the proposed method for binary classification problems.

Default Rate Prediction Models for Self-Employment in Korea using Ridge, Random Forest & Deep Neural Network

By Dongsuk Hong

About: This is a paper presentation given by Dongsuk Hong, who is a PhD in Computer Science, and works in the big data centre of Korea Credit Information Services. This talk will introduce the attendees with machine learning and deep learning models for predicting self-employment default rates using credit information. He will talk about the study, where the DNN model is implemented for two purposes — a sub-model for the selection of credit information variables; and works for cascading to the final model that predicts default rates. Hong’s main research area is data analysis of credit information, where she is particularly interested in evaluating the performance of prediction models based on machine learning and deep learning. This talk will be interesting for the deep learning practitioners who are willing to make a career in this field.


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sophia tondon

sophia tondon

1620898103

5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

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Top 10 GitHub Repositories That COVID Communities Relied on

GitHub is the largest developer platform, with more than 56 million developers around the globe. The latest State of the Octoverse report by  GitHub dived deep into some of the popular communities, including the relatively new COVID community and revealed the categories and actions by the users. The  COVID community is said to have relied on over 1,700 repositories — the work of almost 383,000 contributors from over 200 countries.

Here is a list of the top ten  GitHub repositories that the  COVID communities relied heavily on, amid pandemic.

Note: The list is in order of their ranking

DefinitelyTyped

DefinitelyTyped is a repository for high-quality TypeScript type definitions. It is one of the most popular repositories of Declaration Files for various JavaScript libraries, most of which do not provide their own declaration files. With the help of this repo, developers can easily implement and use the popular JavaScript libraries.

Safe-buffer (feross/safe-buffer)

Debug

Lodash

ms

Inherits

mime-db

ChALkeR / safer-buffer

Node-semver (npm/ node-semver)

Mime-types (jshttp / mime-types)

#developers corner #github #github projects #github repositories

E-learning Software Services - SISGAIN

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