Analytics Vidhya

AUGUST 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data Preprocessing Data preprocessing is the process of transforming raw data. The post Data Preprocessing in Data Mining -A Hands On Guide appeared first on Analytics Vidhya.

Data Mining 291

Data Mining Data Mining Data Mining Data Science 291

Smart Data Collective

DECEMBER 19, 2021

That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process. Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways.

Python 141

Python Machine Learning Machine Learning Algorithm 141

Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists. Why Python?

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. Python and R are popular due to their extensive libraries and ease of use.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

phData

FEBRUARY 7, 2024

Snowpark is the set of libraries and runtimes in Snowflake that securely deploy and process non-SQL code, including Python, Java, and Scala. On the server side, runtimes include Python, Java, and Scala in the warehouse model or Snowpark Container Services (public preview).

Python 52

Python ML ML SQL 52

Pickl AI

MARCH 10, 2023

It will focus on the challenges of Data Scientists, which include data cleaning, data integration, model selection, communication and choosing the right tools and techniques. On the other hand, Data Pre-processing is typically a data mining technique that helps transform raw data into an understandable format.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52