article thumbnail

How to choose a graph database: we compare 6 favorites

Cambridge Intelligence

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.”

article thumbnail

[Latest] 20+ Top Machine Learning Projects for final year

Mlearning.ai

We have the IPL data from 2008 to 2017. Flight Price Prediction with Flask app — with data visualizations So guys this is yet another one of the most favorite projects of mine. We will also be building a beautiful-looking interactive Flask model. Working Video of our App [link] 12. Working Video of our App [link] 15.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

[Latest] 20+ Top Machine Learning Projects with Source Code

Mlearning.ai

We have the IPL data from 2008 to 2017. Flight Price Prediction with Flask app — with data visualizations So guys this is yet another one of the most favorite projects of mine. We will also be building a beautiful-looking interactive Flask model. Working Video of our App [link] 12. Working Video of our App [link] 15.

article thumbnail

70+ Best and Unique Python Machine Learning Projects with source code [2023]

Mlearning.ai

We have the IPL data from 2008 to 2017. In this blog, I implemented a Flight Price Prediction model using different techniques and also I performed very frequent data visualizations to better understand our data. We will also be building a beautiful-looking interactive Flask model.

article thumbnail

Analyzing the history of Tableau innovation

Tableau

VizQL’s powerful combination of query and visual encoding led me to the following six innovation vectors in my analysis of Tableau’s history: Falling under the category of query , we’ll discuss connectivity , multiple tables , and performance. Visual encoding, in particular, tapped the power of the human visual system.

Tableau 144
article thumbnail

Analyzing the history of Tableau innovation

Tableau

VizQL’s powerful combination of query and visual encoding led me to the following six innovation vectors in my analysis of Tableau’s history: Falling under the category of query , we’ll discuss connectivity , multiple tables , and performance. Visual encoding, in particular, tapped the power of the human visual system.

Tableau 98
article thumbnail

Training the YOLOv8 Object Detector for OAK-D

PyImageSearch

Redmon and Farhadi (2017) published YOLOv2 at the CVPR Conference and improved the original model by incorporating batch normalization, anchor boxes, and dimension clusters. It quickly gained popularity due to its high speed and accuracy. The authors continued from there. And then came the YOLO model wave. Yes, you read it right!