Hackathon questions in python

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Hackathon questions in python

Hackathons have long been staple events in the Technology Industry since the late s. A Hackathon is an intense event that brings together computer programmers like software developers, graphic designers and user interface specialists along with industry process experts and professionals to identify issues and create software solutions, usually within a weekend.

Come with your industry experience and the problems you want to solve. Come to hack with new hardware and tech all in the name of doing something crazy and fantastic—and helpful.

Great applications require great design. This is a very hands-on and grassroots event. Bring your laptops, mobile phones, Kinects, Oculus Rifts, Leap Motions, wearable computing devices, to whatever inspires you but above all, your energy and your brain!

We want to create an environment that embraces new ideas and technology solutions for the AEC Industry. We know it takes longer than a weekend to build great solutions, but this is ample time to form teams of good people and begin creating great solutions.

We hope teams at the hackathon will form around problems expressed by participating AEC professionals or the provided hack categories. We do encourage participants to start forming teams before the event. If you would like to start a team or are looking for a team to join, be sure to attend the Friday evening mixer or make an announcement at the opening ceremony of the event on Saturday.

You can also propose or join a team via our forum, Meetup Community, Facebook page, and LinkedIn group. The team that develops the project is the owner of the project and IP. We do encourage sharing of code with others in the community or making code open source but it is not required to participate in the event. If you want to organize an AEC Hackathon in your area or have one at your existing event, contact us and we will let you know how to make it happen. What is a hackathon?

Who should attend? What do I bring? What is the goal of the hackathon? How do I form or join a team and why? Are there prizes for the hack categories? We are able to provide cash and software prizes thanks to our sponsors!This course introduces basic concepts of data science, data exploration, preparation in Python and then prepares you to participate in exciting machine learning competitions on Analytics Vidhya. This chapter will get you started with Python for Data Analysis.

Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons)

We will cover the reasons to learn Data Science using Python, provide an overview of the Python ecosystem and get you to write your first code in Python! In this chapter, we will introduce some of the most common data structures in Python to you and take you through some of the libraries we commonly use in data analysis. Pandas is at the heart of data analysis in Python. This chapter gets you started with Data Munging in Python using Pandas. This chapter will help to understand the approach of data science experts, "How they do approach a challenge?

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Log in. Start Free Course. Python Libraries and data structures In this chapter, we will introduce some of the most common data structures in Python to you and take you through some of the libraries we commonly use in data analysis.

Exploratory analysis in Python using Pandas We start with the first step of data analysis - the exploratory data analysis. Expert advice to improve model performance This chapter will help to understand the approach of data science experts, "How they do approach a challenge?

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Subscribe to RSS. About Terms Privacy.This Hackathon dedicated to solving problems of interest to our community using Python. Our idea is to organize a Hackathon over a single day, and spend this day solving a couple of coding problems.

hackathon questions in python

Both beginners and experienced programmers are welcome: the Hackathon will have one problem geared towards participants interested in getting hands-on experience; and two problems with for advanced users to put their knowledge in practice and contribute to a research project.

With a set of relevant problems, we can offer tailored assistance in advanced topics with Python, creating a stronger connection between the contents of our workshop and your research and going beyond the basic material provided by the current Collaboratory workshop.

To ensure that these problems are of relevance to a large number of people, we are asking for everyone interested to submit suggestions of problems that you, or colleagues, may want help tackling.

The hackathon is suitable for anyone who regularly uses or wishes to regularly use Python for their researchregardless of their level of expertise with programming. The only requirement is the Introduction to Python workshop. February 23,from am — 5pm in the Collaboratory Classroom Boyer Hall Lunch will be served between and 2pm.

To ensure that the problems used in the Hackathon are of relevance to a large number of people, during the registration we ask for suggestions of problems that you, or colleagues, may want help tackling. Examples of types of problems: changing file format from one standard to another; automating a task or pipeline for many datasets; optimize the computation time of complex analyses and pipelines; applying basic methods of computer vision to segment images e.

For more information or to contact us, please send us an e-mail no spaces! Who is this Hackathon intended for? Registration and Contact Infromation. Coding Problems.The data set was straight-forward and quite clean with only a minor need for missing value treatment. This post will might be useful for people who want a walk-through on the steps involving data munging and developing machine-learned models.

However it turned out that these models performed better without feature engineering, which shows the dataset was already quite clean and informative to begin with for this competition. I later attempted gradient boosting with parameter tuning to maximizing scores. Take a look at the course logistics. It was my first ever datascience hackathon.

Determined to get better at this. So after 8 months of playing around with R and Python and blog post after blog post, I found myself finally hacking away at a problem set from the 17th storey of the Hindustan Times building at Connaught Place.

I had entered my first ever data science hackathon conducted by Analytics Vidhyaa pioneer in analytics learning in India.

Pizzas and Pepsi were on the house. Like any predictive analysis hackathon, this one accepted unlimited entries till submission time.

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I had 1 hour to try my best. I want to be the one winning prize money at the end of the day. Read the full Techcrunch article to know why. Skip to content. Home Posts tagged 'Hackathon'. Like this: Like Loading Post to Cancel.My solutions to problems from various competitive programming websites. Questions solved from Various Coding websites viz. This repository also contains Questions from various offline and onsite competitions. Programs that we find in the competitions and some brainstorming questions.

This repository contains solutions of hackerearth. Problem name is same as file name and file contains solution. Machine Learning Competition Codes. Currently, the repo only contains solution's problems but are not descriptive. This repository contains solutions of the programming problems I solved in various websites. Finally, I am creating a single repository of solutions for all the data science competitions I am presently participating in. So, far I have been maintaining separate repositories which I feel is quite tedious.

This repo is ment for storing a small section of the important codes and solutions that I possess in problem solving. Add a description, image, and links to the hackerearth-solutions topic page so that developers can more easily learn about it. Curate this topic. To associate your repository with the hackerearth-solutions topic, visit your repo's landing page and select "manage topics. Learn more. Skip to content. Here are public repositories matching this topic Language: All Filter by language.

Sort options. Star Code Issues Pull requests. Updated Oct 15, Python. Contains hackerearth solutions in python 3. Updated Feb 13, Python. Open Codeforces Problem Solutions. Open Codechef problem solutions. Open Hackerrank problem solutions. This is my HackerEarth Handle. Star 8.

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Hackerearth Solution CPP. Updated Sep 15, Java.Really great post I like the part you touched on about Changing you rcover photo to reflect a season for right, I make allot of sales on amazon with facebook fan pages on the holadays. Developing community is the key aspect.

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hackathon questions in python

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hackathon questions in python

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