Project #1 [Status: WIP]
Simulations based on hand-drawn distributions and smoothed correlation surfaces.
Project #2 [Status: Complete]
Converting handwritten words into digital texts using neural network and retraining method.
Project #3 [Status: Complete]
Forecasting via gradient boosting and neural network, and choosing the optimal method based on MSE.
Project #4 [Status: WIP]
Multi-layer neural network with a modified Sigmoid function based on Bayesian probabilities.
Project #5 [Status: Complete]
Detecting motion using background subtraction.
Project #6 [Status: Ongoing]
Mathematical constants and formulas (e.g. Mandelbrot) on the IBM Quantum Computer.
Project #7 [Status: Complete]
Time-weighted k-nearest neighbors algorithms.
Project #8 [Status: Complete]
Downloading data from various data hosts.
Project #9 [Status: Complete]
Finding similar patterns based on seven different ways to measure errors.
If you'd like to learn more about my python projects, click here