Andrey's Projects
This MATLAB script is using mass spectra raw data to create a 2D map of signal intestines in space
My Repository
Google Cloud Platform Certification resources.
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
This repository shows my Machine learning and Data science learning journey by exploring techniques of data acquisition, cleaning and application of machine learning models
3 Data Science Challenges: Crop yield prediction, Weld defects detection and point cloud ground segmentation
This Repo shows Pytorch in action. The library is used to perform image classification on the MNIST data set and the ML results are monitored with MLflow
This Repo shows TensorFlow in action. The library is used to perform image classification on the MNIST data set and the ML results are monitored with MLflow
This script analyses pump failures and creates ML algorithm to predict future fallouts.
This repo explores a multivariate time series with TensorFlow
The python script evaluates and plots the mass spectra produced from aqueous thin films with femtosecond laser pulses.
Mass Spectrometry is not a quantitative method. Several in-situ approaches are known to overcome this challenge. Another technique to quantify a signal employs statistical methods such as the Poisson distribution.
This MATLAB script is used to create 2D femtosecond laser mass spectrometric images
Python Feature Engineering Cookbook, published by Packt
A resource for learning about PyTorch and deep learning.