Smart Data Collective

JUNE 4, 2021

Exploratory Data Analysis. Exploratory data analysis is analyzing and understanding data. For exploratory data analysis use graphs and statistical parameters mean, medium, variance. Regression (Supervised). In regression, a numerical variable is predicted using other variables. Sentiment analysis.

E-Commerce 262

E-Commerce Cloud Computing Big Data Data Modelling 262

Analysts Corner

MARCH 7, 2023

There are several types of classification algorithms, including logistic regression, decision trees, random forests, support vector machines, and neural networks. This can be used in applications such as facial recognition, object detection, and image tagging.

Logistics 130

Logistics 130

Marutitech

OCTOBER 8, 2021

With advancements in technology and fields like deep learning, sentiment analysis is becoming more and more common for companies that want to gauge their customers’ sentiments. You can use sentiment analysis to identify customer sentiment in comments, reviews, tweets, or social media platforms where people mention your brand. .

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Astera

MAY 6, 2024

Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events. Simplifying data visualization and basic analysis. – Useful for sentiment analysis, topic modeling, etc. What Are Data Mining Tools? .

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

The BAWorld

NOVEMBER 22, 2021

A dashboard is a collection of multiple visualizations in data analytics terms that provide an overall picture of the analysis. Exploratory Data Analysis. for accurate analysis. Regression Analysis. Regression Model. Dashboard. They may be interactive, providing insights at multiple levels.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98