Knowledge Hut

MAY 31, 2023

Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Students can use Python or R for data analysis. Tools like TextBlob and NLTK for sentiment analysis.

Project 52

Project Datasets Media Python 52

Knowledge Hut

MAY 23, 2024

Because of this, data science professionals require minimum programming expertise to carry out data-driven analysis and operations. It has visual data pipelines that help in rendering interactive visuals for the given dataset. Python: Python is, by far, the most widely used data science programming language.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

FEBRUARY 5, 2022

And, when one uses statistical tools over these data points to estimate their values in the future, it is called time series analysis and forecasting. The statistical tools that assist in forecasting a time series are called the time series forecasting models. So, how can data analysis tools help us?

Deep Learning 52

Deep Learning Python Datasets Machine Learning 52

ProjectPro

DECEMBER 22, 2016

Data Profiling, also referred to as Data Archeology is the process of assessing the data values in a given dataset for uniqueness, consistency and logic. Data profiling cannot identify any incorrect or inaccurate data but can detect only business rules violations or anomalies. 5) What is data cleansing?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52