Andrey Urusov's repositories
SNN-Gaussian-receptive-fields-for-Iris-Species
I propose an original solution to one of the most well-known machine learning problems - Iris Species using a spiking neural network (SNN), with a test accuracy of 100%. In my work, I will not use well-known ready-made solutions in python related to SNN. All the code is written by me from scratch, using only NumPy and Pandas.
Deep-Feedforward-Networks-MLP-Taxi-Fare-Predict
Deep Feedforward Networks (MLP) for Kaggle's Competitions 'New York City Taxi Fare Prediction'
Deep-Feedforward-Networks-MLP-for-Predict-House-Prices
Deep Feedforward Networks (MLP) for Kaggle's Competitions House Prices - Advanced Regression Techniques
Crypto-currency-trading-algorithm-for-beginners
Algorithm for implemented that processes signals related to the “extreme” cases of price motion: when there is a presence of a stable price movement in the direction of growth or decline