Pickl AI

JULY 10, 2023

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

Data Science 52

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Pickl AI

JULY 25, 2023

Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc. The post The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering appeared first on Pickl AI.

Data Engineering 52

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Pickl AI

MAY 31, 2023

Accordingly, you need to make sense of the data that you derive from the various sources for which knowledge in probability, hypothesis testing, regression analysis is important. The post Best Resources for Kids to learn Data Science with Python appeared first on Pickl AI. Also Read: How to become a Data Scientist after 10th?

Data Science 52

Data Science Python Data Scientist Machine Learning 52