MeanNearestNeighbors (MNN) - algorithm for balancing dataset - In progress #1

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One of the challenges in classification problems are unbalanced datasets. I was Data Science Intern when the company that I worked for, assigned me such an interesting challenge where the dataset was unbalanced.  However, I realized this type of problem like unbalanced dataset is а common thing in real life. I tried most of the algorithms (undersampling, oversampling) like SMOTE, NearMiss, CondensedNearestNeighbors, RandomUnderSampler, RandomOverSampler,  KMeansSMOTЕ and rest of them. Anyway, they didn't help me in that case, on the contrary, they worsened my model.  I was like: "but, but, you should have been helpful in creating the predictive model" So, I'm trying to create another algorithm based on undersampling concept when it comes to balancing datasets. I called it Mean Nearest Neighbors (MNN). What's the initial idea: It's simple. Actually, the algorithm is just a modification of the other undersampling algorithms. In the data where target labe...

NVDIA GeForce RTX 2080 -> meaning of "ray tracing"

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When they were talking about "Ray tracing" I have no idea what that means, but today NVDIA GeForce channel published this video and it's very understandable .
......my reaction was.... Let's learn more on Wikipedia about Ray tracing 😁😁😁
https://en.wikipedia.org/wiki/Ray_tracing_(graphics)

Ray Tracing can be implemented in 3D Computer Graphics environments.
The Ray Tracing  scenes are described mathematically by programmer or virtual artist using intermediary tools.

Interesting fact :
First presentation of "Ray casting"(tracing later) was in 1968 by Arthur Appel.


Yeah sure ... helped by AI and a lot of physics too

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