Fast, private data connectors for AI β‘οΈπ€
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Updated
May 22, 2024 - Python
Fast, private data connectors for AI β‘οΈπ€
A project to build an ETL pipeline and ML application to help respond to disaster events faster
Crack SWE (ML) / DS MAANG Interviews
This is my Repository for Deep Learning Project and Works
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.
An easy-to-use tool for making web service with API from your own Python functions.
This neural network can help determine the correspondence of the attached video topic to the video topics recommended by YouTube.
Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.
Vehicle data classification (supervised, unsupervised learning)
β°οΈ machine learning pipeline for disaster alert
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 β¦
Detecting News Generated by LLMs
ML Engineering with MS Azure
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π° ΡΠ΅ΠΌΡ "Π’ΡΠ°Π½ΡΠΊΠΎΠ΄ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ JPEG Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°Π½ΠΈΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² ΠΠΠ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΎΠΉ ΡΠ΅ΡΠΈ".
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.
π₯π₯π₯π₯π§π₯π₯ A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
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