Stroom is a highly scalable data storage, processing and analysis platform.
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Updated
Jul 11, 2024 - Java
Stroom is a highly scalable data storage, processing and analysis platform.
Performed analysis of Heart Disease Diagnostic database with help of data visualization libraries like Seaborn and Matplotlib to draw meaningful insights.
I'm always learning. And I love learning through practice. So, I've created this repo to share with everybody what I learn.
Self-serve BI to 10x your data team ⚡️
Snowflake Snowpark Python API
Collaborative Machine-Learning-Centric Data Analytics Using Workflows
This repository contains the exam projects for the course of Complex Networks, held by professor Manlio De Domenico for the master course in Physics of Data at Università di Padova, during A.A. 2023/24
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
Apache Superset is a Data Visualization and Data Exploration Platform
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
This is my profile which gives the insights of my projects created using various tools and frameworks.
Power BI project for analyzing and visualizing revenue and performance metrics for AtliQ Grands, a chain of five-star hotels in India, as part of the Codebasics Resume Challenge. The dashboard provides key financial insights and performance metrics to aid in strategic decision-making and improving market share
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Exploratory Analysis, Visualizations, solutions to some common data wrangling problems in Python.
Wren Engine is the backbone of the Wren AI project - The semantic engine for LLMs, bringing business context to AI agents.
신다혜의 포트폴리오입니다.
This is the collection of all the projects I have done related to DataScience, Machine Learning and AI.
I have a DoorDash addiction. I needed to see how bad it was. So, I scraped my order history data and created my own dashboard.
The programs of certificate course on "Artificial Intelligence and Machine Learning" conducted at CDAC for DRDO by Tushar B. Kute.
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