Dataconomy

MAY 16, 2023

They employ statistical and mathematical techniques to uncover patterns, trends, and relationships within the data. Data scientists possess a deep understanding of statistical modeling, data visualization, and exploratory data analysis to derive actionable insights and drive business decisions.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Pickl AI

DECEMBER 3, 2024

Raw data often contains inconsistencies, missing values, and irrelevant features that can adversely affect the performance of Machine Learning models. Proper preprocessing helps in: Improving Model Accuracy: Clean data leads to better predictions. Matplotlib/Seaborn: For data visualization.

Python 52

Python ML ML Exploratory Data Analysis 52

Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. Next, we present the data preprocessing and other transformation methods applied to the dataset.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

Flipboard

MARCH 22, 2023

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. Data scientist experience In this section, we cover how data scientists can connect to Snowflake as a data source in Data Wrangler and prepare data for ML.

AWS 123

AWS Data Preparation Azure ML 123

Tableau

OCTOBER 8, 2021

“This partnership makes data more accessible and trusted. With Looker’s secure, trusted and highly performant data governance capabilities, we can augment Tableau’s world-class data visualization capabilities to enable data-driven decisions across the enterprise. Operationalizing Tableau Prep flows to BigQuery.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

Tableau

OCTOBER 8, 2021

“This partnership makes data more accessible and trusted. With Looker’s secure, trusted and highly performant data governance capabilities, we can augment Tableau’s world-class data visualization capabilities to enable data-driven decisions across the enterprise. Operationalizing Tableau Prep flows to BigQuery.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

Mlearning.ai

FEBRUARY 21, 2023

Pandas is a powerful data manipulation library in Python, which we'll be using to load, transform and analyze the data. We'll also use numpy and matplotlib libraries for numerical computations and data visualization. data = data.dropna() We can also use the drop_duplicates() method to remove duplicated rows.

Data Wrangling 52

Data Wrangling Python Data Analysis Data Analysis 52