A project to build an ETL pipeline and ML application to help respond to disaster events faster
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Updated
Jul 19, 2023 - Python
A project to build an ETL pipeline and ML application to help respond to disaster events faster
Crack SWE (ML) / DS MAANG Interviews
Fast, private data connectors for AI ⚡️🤖
This repository serves as a platform where I share articles and implementations related to various machine learning concepts and projects. Through this blog, I aim to document my learning journey and provide insights into the fascinating world of machine learning.
This neural network can help determine the correspondence of the attached video topic to the video topics recommended by YouTube.
This is my Repository for Deep Learning Project and Works
An easy-to-use tool for making web service with API from your own Python functions.
Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.
Vehicle data classification (supervised, unsupervised learning)
UniTrends: Using Telegram API, Kafka, and AWS tools to analyze VISA group chats, refining my YouTube content strategy and gained 10k subscribers through data-driven insights.
A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
⛰️ machine learning pipeline for disaster alert
Recommendation System for Books using Collaborative Filterings: An ML Project to Recommend 'n' similar Books for a given book, as per the Collaborative users' ratings of the books. This Project also involves the deployment in a Flask Based web application.
plagiarism detector that examines a text file and performs binary classification; labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences between paraphrased answers and original work are …
Detecting News Generated by LLMs
ML Engineering with MS Azure
Исследование на тему "Транскодирование изображений JPEG с использованием предсказания коэффициентов ДКП на основе нейронной сети".
Work-in-progress
Utilizing machine learning techniques, this project predicts vehicle prices based on features like age, fuel type, and more. Models include Linear Regression, Lasso Regression, and Random Forest. Dataset sourced from Kaggle.
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