Free Course Download100% Free Direct MP4 LinksOreillyAI, Machine Learning & Data Science2025-1 Edition

Download Data Science Made Easy: Hands-On Analytics with No-Code Software Tool KNIME Course for Free

Download the complete Data Science Made Easy: Hands-On Analytics with No-Code Software Tool KNIME video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

25Lectures

10.5Total Hours

1394.8MB Total Size

MP4 / 1080p HD

Instructor: Dursun Delen

English

Beginner to advanced

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All Video Lectures Available to Download25 Videos

Direct high-speed MP4 downloads for every chapter.

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Topics

MP4 HD2m•5.24 MB

Stream

Definition, Terminology, and a Simple Taxonomy

MP4 HD32m•70.68 MB

Stream

Data Science Process

MP4 HD41m•90.93 MB

Stream

Data Science Methods and Algorithms

MP4 HD31m•68.83 MB

Stream

AIML Evolution

MP4 HD44m•97.46 MB

Stream

Data Science Made Easy Introduction

MP4 HD11m•25.06 MB

Stream

Data Science Made Easy Introduction

MP4 HD11m•25.06 MB

Stream

Nodes and Extensions

MP4 HD4m•8.27 MB

Stream

KNIME Demo with Iris Dataset Part 1

MP4 HD19m•41.03 MB

Stream

Tool Landscape

MP4 HD35m•76.01 MB

Stream

Introduction to KNIME AP

MP4 HD40m•87.32 MB

Stream

KNIME Demo with Iris Dataset Part 2

MP4 HD38m•84.38 MB

Stream

Data Ingestion and Preparation Part 2

MP4 HD24m•52.12 MB

Stream

Data Ingestion and Preparation Part 1

MP4 HD42m•93.49 MB

Stream

ML Model Building and Testing

MP4 HD18m•40.42 MB

Stream

Comparative Assessment

MP4 HD13m•29.36 MB

Stream

Cross Validation for Bias-Variance Tradeoff

MP4 HD22m•48.49 MB

Stream

Model Ensembles (with Bagging & Boosting)

MP4 HD28m•61.92 MB

Stream

Data Balancing for Class Imbalance Problem

MP4 HD36m•79.27 MB

Stream

Model Explainability (XAI)

MP4 HD37m•80.46 MB

Stream

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What You'll Master in this Free Download Course

Data Science Explained: Defining Data Science and Understanding Related Terms and Concepts

Introduction to data science tools: Familiarity with various data science tools and platforms and using the KNIME platform

Developing Machine Learning Models with KNIME: Developing and testing machine learning models using KNIME

Best practices in data science: Familiarity with best practices in data science, such as dealing with data imbalance, cross-validation, and model ensemble techniques

Text Analysis: Learn the fundamental concepts of text analysis and natural language processing, and its applications such as sentiment analysis and topic modeling.

About this Free Download Course

Data Science Made Easy: Hands-On Analytics with No-Code Software Tool KNIME. This course is an introduction to data science, introducing you to fundamental data science concepts, methods, algorithms, and applications. You will also learn how to implement data science best practices using a visual, low-code/no-code, and intuitive software environment called KNIME.

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