Edureka

AUGUST 2, 2023

Due to its strong data analysis and manipulation skills, it has significantly increased its prominence in the field of data science. Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Edureka

FEBRUARY 8, 2024

Different instance types offer varying levels of compute power, memory, and storage, which directly influence tasks such as data processing, application responsiveness, and overall system throughput. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. Source Code: Finnhub API with Kafka for Real-Time Financial Market Data Pipeline 3.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Ascend.io

FEBRUARY 28, 2024

Data engineers implement sophisticated data cleansing, validation, and structuring techniques to ensure that the data fed into AI models is accurate and in the right format for analysis. ChatGPT screenshot of AI-generated Python code and an explanation of what it means.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

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. to accumulate data over a given period for better analysis. There are many more aspects to it and one can learn them better if they work on a sample data aggregation project.

Data Engineering 52

Data Engineering Data Engineer 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