ProjectPro

DECEMBER 22, 2016

As a data analyst , I would retrain the model as quick as possible to adjust with the changing behaviour of customers or change in market conditions. 5) What is data cleansing? Mention few best practices that you have followed while data cleansing. How to save and reload a deep learning model in Pytorch?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

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. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

U-Next

AUGUST 11, 2022

The first step is capturing data, extracting it periodically, and adding it to the pipeline. The next step includes several activities: database management, data processing, data cleansing, database staging, and database architecture. Consequently, data processing is a fundamental part of any Data Science project.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40