Alexon Uthayakumar
Software developer and Data scientist based in Paris. I write about data science, AI, software programming, tools, frameworks, and more.
Recent posts
Brainsight: deep learning model for predicting Alzheimer’s disease using MRIs
Alzheimer’s Disease is a progressive brain disorder that affects millions of people worldwide. Early detection and diagnosis of Alzheimer’s is critical for effective treatment and care. The BrainSight project demonstrated the power of deep learning and MRI imaging in predicting Alzheimer’s disease. The CNN model achieved high sensitivity and specificity, indicating its potential as a diagnostic tool for early detection and diagnosis of Alzheimer’s.
Figure 1: Model evaluation
Let’s go find out, What gets people a second date?
If you’re curious about what it takes to get a second date, look no further than the speed dating dataset on Kaggle. In this article, we’ll analyze the data to identify the factors that contribute to getting a second date, including physical attractiveness, shared interests, and more. By exploring the impact of various factors on dating success, we’ll provide insights that can help individuals improve their chances of finding love.
Figure 1: Is it important to belong to the same human race
Figure 2: What Are Participants Looking For in Their Matches
Figure 3: What are the attributes that matter in the final decision
Recommending Optimal Zones for Uber Drivers Using Clustering
The growth of ride-sharing services like Uber has revolutionized the transportation industry. Uber drivers face a challenge of deciding the best locations to be in at different times of the day to maximize their profits. This project aims to use clustering techniques to analyze pickup data and recommend optimal zones for Uber drivers at different times of the day.
Figure 1: Hot-zones per hour and per day of week
Skills-based projects
A selection of smaller projects demonstrating specific programming, data science and ML skills.
- Extract insights through Exploratory Data Analysis (EDA)
- Kayak’s Data-Driven Approach: Web Scraping, Cloud-Based Data Storage, ETL and Data Analysis for Finding the Best Hotels and Hottest Travel Destinations
- Solving complex problems with Machine Learning: A Dual Approach with Supervised and Unsupervised Learning
- The Power of Deep Learning: Solving Complex Problems with Neural Networks
- Deploying Machine Learning Models in Production: Best Practices and Tools