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Data Preparation and Raw Data in Machine Learning

KDnuggets

In this article, I will describe the data preparation techniques for machine learning.

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Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python

KDnuggets

def extract_data_from_csv(csv_file_path): try: print(f"Extracting data from {csv_file_path}.") Creating sample data.") csv_file = create_sample_csv_data() return pd.read_csv(csv_file) Now that we have the raw data from its source ( raw_transactions.csv ), we need to transform it into something usable.

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The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

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Enable stakeholder data access with Text-to-SQL RAGs

Start Data Engineering

Enabling Stakeholder data access with RAGs 3.1. Loading: Read raw data and convert them into LlamaIndex data structures 3.2.1. Read data from structured and unstructured sources 3.2.2. Transform data into LlamaIndex data structures 3.3. Introduction 2. Set up 3.1.1. Pre-requisite 3.1.2. Demo 3.1.3.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights. With Logi Symphony, you’re not just overcoming obstacles, you’re driving innovation in healthcare.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ? Bronze, Silver, and Gold – The Data Architecture Olympics? The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form.

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Data logs: The latest evolution in Meta’s access tools

Engineering at Meta

The result of these batch operations in the data warehouse is a set of comma delimited text files containing the unfiltered raw data logs for each user. We do this by passing the raw data through various renderers, discussed in more detail in the next section.

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Enhance Customer Value: Unleash Your Data’s Potential

Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights. Together, we can overcome these hurdles and empower your users with the data they need to drive success.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights.