Ruslan Magana Vsevolodovna's Projects
Code for https://medium.com/uk-hydrographic-office/developing-and-testing-lambdas-with-pytest-and-localstack-21a111b7f6e8
RNN Programming Assignment: In this project, we will implement a model that uses an LSTM to generate music. In the end, we'll even be able to listen to your own music!
Some selected Machine Learning Codes to use, from different sources
Machine Learning Pipelines in PySpark MLlib
Classification Web App with Streamlit
Machine Learning with Google Cloud Platform with AutoML
Machine Learning with Python and Spark - Introduction to machine learning such as Linear Regression, Logistic Regression, Classification, Clustering and Collaborative filtering by using Python and Pyspark. ruslanmv.com
For better displaying html files and course material use this link
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Models and examples built with TensorFlow
Ensemble models of classification : Decision Tree Classifier , Bagging Classifier , Random Forest Classifier , AdaBoost Classifier , Gradient Boosting Classifier , Xgboost Classifier , KNeighbors Classifier , GaussianNB Classifier , Random Forest Classifier , Logistic Regression
Multiple classes classification with Logistic Regression and Neural Networks
This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please :star2: the repo if you like it :point_up: Create an Issue or preferably a PR for any improvement. :rocket:
Natural Language Processing with Pycaret
RNN Programming Assignment: In this project, we will build a Neural Machine Translation (NMT) using an attention model, one of the most sophisticated sequence-to-sequence models.
Neural Network Enviroment for Classification in Python
Neural Networks of an unknown Dataset in with TensorFlow
Simple classification with Neural Networks using XG Boost
We create a neural network network with Metalabeling . It's a classification problem, the goal is to predict if a company is healthy or bankrupt.
A small utility to modify the dynamic linker and RPATH of ELF executables
Performing Real-Time Data Analysis with Kinesis
Generative AI - PowerPoint with IBM watsonx Code Assistant for Red Hat Ansible Lightspeed
Practical Data Science in AWS
Create and Delete files by using Jupyter Notebook in IBM Cloud Storage