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2022-better-working-world-data-challenge

airline-passenger-satisfaction

This dataset contains an airline passenger satisfaction survey. What factors are highly correlated to a satisfied (or dissatisfied) passenger? Can you predict passenger satisfaction?

book_flask_lilly

braindead-revelation-23-give-me-samacharam-solution

cascade-cup-22-9th-place-solution-team-data_demble

This Repository contains the approach and data analysis reports of cascade cup 2022 organized by Consulting and analytics club, IIT Guwahati sponsored by ShadowFax.

customer_attrition_-prediction

To predict the customer Attrition for each customer in the given dataset using data science models.

exl-eq-2022-runner-up-solution

EXL Excellence Quotient (EQ) is an annual case study contest for the students of Top Engineering Institutes in India with analytic vigor. EXL EQ 2020 will be open across around 30 top engineering institutes, is structured to test skills like problem identification, logical thinking, structured and methodological approach and efficient analysis amongst it's participants. The case study contest provides participants a platform to learn and experience real life consulting problems faced by organizations and how they can apply their academic learning and business acumen to offer solutions to such problems. EQ will also offer participants an opportunity to engage in decision analytics using various data handling tools. A lot of teams registered out of which 15 qualified through 1st Round and only 6 teams made it through the 2nd Round to the National Finals.

football-hackathon-analytics-vidhya

Spanish footballing giant Sevilla FC together with FC Bengaluru United, one of India’s most exciting football teams have launched a Football Hackathon – Data-Driven Player Performance Assessment. This Hackathon will be a unique opportunity to effectively use data science in the space of professional football scouting and player performance analysis and enhancement and are excited to have you on the journey. Today, data garnered from live tracking and eventing offers a deep insight into the individual players as well as overall team performance across various different aspects. The information contained in such datasets ranges from physical and kinematic variables right up to complex game-related technical and tactical metrics. While we have access to such rich and precise datasets, we are yet to effectively use these to identify the key actions that make outstanding the performance of players in the whole spectrum of roles and positions. And this is exactly what we are looking for you to address in this Hackathon! We are giving you access to one of the largest proprietary scouting datasets in the world - physical, contextual, kinematical, technical, and tactical oriented data related to the players, the team as a whole, and their opponents. We want you to leverage this data as a strategic asset, to create an algorithm, that will be able to decompose the performance of the players into its main objective elements. and therefore, to help Sevilla FC and FC Bengaluru United to obtain a competitive advantage against their opponents.

gender-prediction-from-names-using-fuzzy-library

The same name can be spelled out in a many ways (for example, Marc and Mark, or Elizabeth and Elisabeth). Sound can, therefore, be a better way to match names than spelling. In this project, you will use the Python package Fuzzy to find out the genders of authors that have appeared in the New York Times Best Seller list for Children's Picture books. First, using fuzzy (sound) name matching, you will search for author names in a dataset provided by the US Social Security Administration that contains names and genders of all individuals who have applied for Social Security Cards. Next, we'll aggregate the author dataset by including gender. Finally, you will use the new dataset to plot the gender distribution of children's picture books authors over time.

mh-uhack-sentiments-2.0-decode-code-words

Machine Learning Hackathon by MachineHack hosted by Ugam

resources-for-preparation-of-placements

Lecture video links for preparation of Placements

the-geoffrey-hinton-fellowship-hackathon-1-solution-univ.ai

An organization wants to predict who possible defaulters are for the consumer loans product. They have data about historic customer behavior based on what they have observed. Hence when they acquire new customers they want to predict who is more risky and who is not.

windmill-power-prediction

Moving from traditional energy plans powered by fossils fuels to unlimited renewable energy subscriptions allows for instant access to clean energy without heavy investment in infrastructure like solar panels, for example. (One clean energy source that has been gaining popularity around the world is wind turbines. Turbines are massive structures that are strategically pla¢ed in perpetually windy places to generate the most energy. Wind energy is generated when the power of the atmosphere's airflow is harnessed to create electricity. Wind turbines do this by capturing the kinetic energy of the wind. Factors such as temperature, wind direction, turbine status, weather, blade length, etc. influence the amount of power generated.