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Optimizing MSU CATA bus routes based on end user demand
We are new to data analysis and this is our best effort
We tried.
Using Exploratory Data Analysis Techniques, we select the most relevant features of the dataset and use it as a basis to train our predictive model.
Boost insurance sales by predicting client purchases to enhance targeted marketing.
Leveraging advanced algorithms, historical data, and predictive analytics, our model analyzes client profiles to forecast whether they are likely to purchase insurance in the future.
Hi this is a mixed team between DSA and ST year 1s! And we like cats :) ฅ^•ﻌ•^ฅ
VitAlert enriches busy lives with personalized nutrient tracking and insights, empowering users to bridge dietary habits for optimal health.
"Exploring Baseball's Secrets: How Data and Travel Lead to Winning Games"
Is there compelling evidence of team travel(time, distance) on performance?
The Gaussian Curveballs hit a grand slam with their work investigating the relationship between MLB team travel and performance.
Predicting peak oil rates of wells using various machine learning and statistical techniques.
Given information about an oil drilling site, we can accurately predict the oil production rate at its peak.
We developed a Multinomial Logistic Regression model to analyze FDA’s CAERS data, predicting future product risks and guiding FDA in proactive public health measures.
Using Python and R to analyze CAERS data for trends to provide regulatory recommendations for the FDA
Empowering Consumer Safety for Diverse and Vulnerable Populations with Data-Driven Insights
Stop playing Hide and Seek with your labelled images of anatomy, math or science. Use UnLabeled to automatically create flash cards out of any illustrations
Elevate your TA experience at NUS with our platform! Tailored for seamless management of student attendance, claims, and analytics, our app simplifies the tracking and handling of essential data.
In this project, we aim to analyze the FDA report data, identify potentially dangerous consumer products and patterns, and then provide recommended regulatory actions for FDA.
Video games sales dataset analysis to find out top 10 publishers in the 2010's decade
Tight, Accurate, Horizon-based Volatility Metrics - for downstream liquidity range setting and risk sizing
Review-lutionising reviews by bridging the Web2/Web3 Gap through a Trusted Travel Review Website.
my entry for the hello world code challange
Tight, Accurate, Horizon-based Volatility Metrics - for downstream range setting and risk sizing
