Data Cleanse Data Mining Hospitality 
Edureka
AUGUST 2, 2023
Data Processing and Cleaning : Preprocessing and data cleaning are important steps since raw data frequently has errors, duplication, missing information, and inconsistencies. To make sure the data is precise and suitable for analysis, data processing analysts use methods including data cleansing, imputation, and normalisation.
ProjectPro
AUGUST 24, 2021
This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. In this data engineering project, you will apply data mining concepts to mine bitcoin using the freely available relative data. You will analyze accidents happening in NYC.
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