Data Science Dojo

MAY 1, 2023

Pandas Pandas is a powerful data manipulation library for Python that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive. Scikit-learn Scikit-learn is a powerful library for machine learning in Python.

Python 327

Python Machine Learning Machine Learning Data Science 327

Data Science Dojo

MAY 1, 2023

Pandas Pandas is a powerful data manipulation library for Python that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive. Scikit-learn Scikit-learn is a powerful library for machine learning in Python.

Python 195

Python Machine Learning Machine Learning Data Science 195

Towards AI

JULY 15, 2024

In addition, it’s also adapted to many other programming languages, such as Python or SQL. Importing and exporting GIS data — importing and exporting data from various sources and formats is a key task. Numerous spatial data formats, including shapefiles, GeoJSON, GeoTIFF, and NetCDF, can be read and written by these programs.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

IBM Journey to AI blog

JULY 6, 2023

Both data science and machine learning are used by data engineers and in almost every industry. It’s also necessary to understand data cleaning and processing techniques. Because data analysts often build machine learning models, programming and AI knowledge are also valuable.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

ODSC - Open Data Science

JANUARY 7, 2025

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL is expected, youll need to go beyond that. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

AUGUST 9, 2024

NoSQL Databases These databases, such as MongoDB, Cassandra, and HBase, are designed to handle unstructured and semi-structured data, providing flexibility and scalability for modern applications. Understanding the differences between SQL and NoSQL databases is crucial for students.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Mlearning.ai

MAY 23, 2023

Once the exploratory steps are completed, the cleansed data is subjected to various algorithms like predictive analysis, regression, text mining, recognition patterns, etc depending on the requirements. In the final stage, the results are communicated to the business in a visually appealing manner. These are called support vectors.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52