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bike-sharing-demand-prediction

Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city. Using these systems, people are able rent a bike from a one location and return it to a different place on an as-needed basis. Currently, there are over 500 bike-sharing programs around the world. In this project, forecasting of the bike rental demand of Bike sharing program in Washington, D.C. is done based on historical usage patterns using Random Forest Regressor Model For more information about the dataset, click on: https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset

census-income-prediction

The US Adult Census dataset is a repository of 48,842 entries extracted from the 1994 US Census database. A Decision Tree model is built to predict whether an individual made more or less than $50k.

fast-food-restaurants-in-usa

movierecommendationsystem

What can we say about the success of a movie before it is released? Are there certain companies (Pixar?) that have found a consistent formula? Given that major films costing over $100 million to produce can still flop, this question is more important than ever to the industry. Film aficionados might have different interests. Can we predict which films will be highly rated, whether or not they are a commercial success? These are the questions that inspired us to take these datasets up, combine them and perform our analysis.

olympics-win-win-analysis-using-r

It takes a lot of money to prepare and send athletes to the Olympics. Consider: their training, coaching, and access to facilities. Who bears this financial burden? It varies; some countries pay for everything, but in other countries a significant portion is paid by the athlete and their family. Thus, the International Olympic Committee has a scholarship program, whose objective is to provide financial assistance to athletes from less privileged countries the chance to prepare for and qualify for the Olympic Games. How are these athletes chosen? Currently, the athlete’s home country identifies candidates and the athletes apply for the scholarship. The final decision lies with the “Olympic Solidarity” committee. Proposal: The IOC could play a more proactive part, seeking athletes that fill a particular need or goal, for a “win-win”. These strategic goals could target specific sports or countries where the IOC wants to put emphasis. For example: (1) Increase participation in certain “niche” sports that currently have comparatively less participation. (2) Equalize male & female participation in certain sports. (3) Provide more scholarships to emerging countries that show promise to earn more medals.

predicting-rental-bike-sharing-demand

– Forecasted the bike rental demand using of Bike Sharing program in Washington DC, using Random Forest, based on historical usage patterns

salonigoel.github.io

sql-practice

Leetcode Questions practice

uc-bana7052

Course materials for BANA 7052 (Applied Linear Regression) at UC