Towards AI

NOVEMBER 17, 2023

Image by Author Tools The following tools were used to assist the data analysis process: Tableau: Used to create the visualizations. JupyterHub: Used to wrangle, clean, and prepare the dataset for visualization. Red Bull won the constructors championship from 2010 to 2013. Remove erroneous values.

Tableau 98

Tableau Data Science Data Analysis Data Analysis 98

Kaggle

APRIL 20, 2020

In 2009 and 2010, I participated the UCSD/FICO data mining contests. Based on the information and assumptions above, I decided to mainly use data points from 2007 and 2008 for training my classifiers, which turns out to be a reasonable choice. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

Tableau

SEPTEMBER 14, 2022

Collage of Tableau Public visualizations ( The Tableau Chart Catalog by Kevin Flerlage, The Tableau Chart Builder by Jeff Plattner, and It Started With A Viz | VOTD by Autumn Battani) and the Tableau Public homepage. Tableau Public launched in 2010 with a mission to make data more accessible and a part of everyday conversations.

Tableau 52

Tableau Data Visualization Analytics Analytics 52

Tableau

SEPTEMBER 14, 2022

Collage of Tableau Public visualizations ( The Tableau Chart Catalog by Kevin Flerlage, The Tableau Chart Builder by Jeff Plattner, and It Started With A Viz | VOTD by Autumn Battani) and the Tableau Public homepage. Tableau Public launched in 2010 with a mission to make data more accessible and a part of everyday conversations.

Tableau 52

Tableau Data Visualization Analytics Analytics 52

Tableau

DECEMBER 1, 2021

Working with multiple tables got a significant boost with cross data source actions in v5.0 (May Nov 2010), which allowed users to drag and drop multiple tables on one sheet. Visual encoding, in particular, tapped the power of the human visual system. Oct 2005) with a feature called Show Me.

Tableau 145

Tableau ML ML Database 145

Tableau

DECEMBER 1, 2021

Working with multiple tables got a significant boost with cross data source actions in v5.0 (May Nov 2010), which allowed users to drag and drop multiple tables on one sheet. Visual encoding, in particular, tapped the power of the human visual system. Oct 2005) with a feature called Show Me.

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL 101

SQL Database AWS AI 101