ODSC - Open Data Science

APRIL 15, 2025

What youll do : Data wrangling is about acquiring, consolidating, and reshaping raw data into a usable form. Youll extract from APIs, query databases, and convert formats to make your dataset analysis-ready. Data Transformation: Reshaping forInsight Why it matters: Models require structured, numerical inputs.

Data Wrangling 52

Data Wrangling Data Science AI AI 52

Pickl AI

DECEMBER 16, 2024

Step 2: Data Gathering Collect relevant historical data that will be used for forecasting. This step includes: Identifying Data Sources: Determine where data will be sourced from (e.g., databases, APIs, CSV files). Cleaning Data: Address any missing values or outliers that could skew results.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

The following figure represents the life cycle of data science. It starts with gathering the business requirements and relevant data. Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. What is Cross-Validation?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52