Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). It allows you to create and share live code, equations, visualisations, and narrative text documents. These concepts help you analyse and interpret data effectively.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Exploratory Data Analysis (EDA): Analysing and visualising data to discover patterns, identify anomalies, and test hypotheses. Inferential Statistics: A branch of statistics that makes inferences about a population based on a sample, allowing for hypothesis testing and confidence intervals.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

The MLOps Blog

MAY 31, 2023

Exploratory data analysis The purpose of having an EDA layer is to find out any obvious error or outlier in the data. Play with this project live For more: See the full model registry overview in the documentation Selecting the best evaluation metrics Evaluation Metrics help us to decide the performance of a version of the algorithm.

ML 59

ML ML Algorithm Machine Learning 59