Big Data, Cross Validation and EDA - Data Science Current

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Big Data

Cross Validation

EDA

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

FEBRUARY 12, 2024

What is cross-validation, and why is it used in Machine Learning? Cross-validation is a technique used to assess the performance and generalization ability of Machine Learning models. The process is repeated multiple times, with each subset serving as both training and testing data.

Data Science

Data Science Cross Validation Machine Learning Machine Learning

Meet the winners of the Kelp Wanted challenge

DrivenData Labs

APRIL 10, 2024

Combining deep and practical understanding of technology, computer vision and AI with experience in big data architectures. A data geek by heart. What motivated you to compete in this challenge?

Deep Learning

Deep Learning Deep Learning Machine Learning Machine Learning

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

B Big Data : Large datasets characterised by high volume, velocity, variety, and veracity, requiring specialised techniques and technologies for analysis. Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

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Top 10 Data Science Interviews Questions and Expert Answers

Meet the winners of the Kelp Wanted challenge

Basic Data Science Terms Every Data Analyst Should Know

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