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

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. They possess a deep understanding of statistical methods, programming languages, and machine learning algorithms. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. To obtain practical expertise, run the algorithms on datasets. After that, move towards unsupervised learning methods like clustering and dimensionality reduction.

Data Science 52

Data Science Python Data Scientist Machine Learning 52