This can be used for quick explanation during office meetings or during online education classes. I have combined my two previous projects: 1. Hand tracking(21 landmark points) 2. Writing on-screen with the pre-identified object (Problem with this was: It was able to write with only previously identified color objects. And that too in a constrained environment.) so, combining …
Real-time writing with fingers on Web Camera-Screen Read More »
I have made a hand gesture tracking tool. It can also track hand movements live through a webcam. To show its output, I have applied this tool on video. Output is as below: This project processes the input from the web camera. Then, It identifies 21 landmark points of hands. It runs smoothly on the …
Hand Tracking tool – Computer Vision (Machine learning) Read More »
The problem is solved with the OLS regression model, REF, VIF, P values. (To clarify: OLS= Ordinary Least Square, RFE = Recursive Feature elimination, VIF= Variance Inflation Factor) Problem Statement and the Data Data consists of various car features such as car name, fuel type, engine type, engine size, car body, car width, car length, etc. The …
Predicted if the cancer diagnosis is benign or malignant based on several observations/features. 30 features of tumor are used, examples: – radius (mean of distances from center to points on the perimeter)– texture (standard deviation of gray-scale values) – perimeter – area– smoothness (local variation in radius lengths) – compactness (perimeter^2 / area – 1.0) …
For Machine learning(ML), you deal with a large set of data with a lot of features. For instance, to predict housing prices, its features would be – an area of the land, number of rooms, size of rooms and kitchen, neighborhood, age of the building, land slope, proximity to the highway-railway-airport, etc. The algorithm sees …
Feature Scaling: Meaning and its importance in Machine Learning? Read More »
Our ability to learn and get better at tasks through experience is part of our life. When we are born, we know almost nothing and can do almost nothing for ourselves. But as we grow, we learn and become more capable every day. But, Did you know that computers can also do the same? This …