Pickl AI

FEBRUARY 12, 2024

Data Wrangling and Cleaning Interviewers may present candidates with messy datasets and evaluate their ability to clean, preprocess, and transform data into usable formats for analysis. What is cross-validation, and why is it used in Machine Learning?

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions. Students should learn about data wrangling and the importance of data quality.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 15, 2025

Well dont worry because below well break down the core data skills every aspiring LLM practitioner needs to understand. Data Wrangling: Taming the RawData Why it matters : Real-world data is messy. What youll do : Data wrangling is about acquiring, consolidating, and reshaping raw data into a usable form.

Data Wrangling 52

Data Wrangling Data Science AI AI 52