data mining classification

DALToolbox in R: Reproducible Data Mining Workflows

00:00 Daltoolbox in R Overview 00:57 The Challenge of Modern Data Analysis 02:20 Experiment Lines: An SPL-Based Approach ...

17:19

DALToolbox in R: Reproducible Data Mining Workflows

13 views

6 days ago

Wei Yi Yu

Sentiment Analysis: Lexicon and Machine Learning

Assignment Purpose.

9:17

Sentiment Analysis: Lexicon and Machine Learning

8 views

5 days ago

Eduardo Ogasawara

Classification Fundamentals: Baselines, Metrics, and Evaluation

00:00 Classification Fundamentals Overview 00:59 A Map of Classification Methods 02:14 Experimental cycle 03:33 A Shared ...

18:12

Classification Fundamentals: Baselines, Metrics, and Evaluation

6 views

6 days ago

Eduardo Ogasawara

Classification in R: How Models Turn Data into Decisions

00:00 Classification in R Overview 01:00 Supervised vs. Unsupervised Learning 02:06 Prediction Problems: Classification vs.

11:02

Classification in R: How Models Turn Data into Decisions

0 views

6 days ago

Eduardo Ogasawara

Naive Bayes in R: Probabilistic Classification Explained

00:00 Naive Bayes Classification in R Overview 01:05 Priors 02:22 Bayes' Theorem: The Mathematical Foundation 03:30 Putting ...

15:16

Naive Bayes in R: Probabilistic Classification Explained

4 views

6 days ago

Eduardo Ogasawara

Custom Components in R: Extending a Data Mining Workflow

00:00 Custom Components in R Overview 01:00 Custom Examples in DALToolbox 02:15 Custom Transformation: smote custom ...

18:46

Custom Components in R: Extending a Data Mining Workflow

21 views

6 days ago

Eduardo Ogasawara

K Nearest Neighbors in R: Distance, Voting, and Choosing k

00:00 K Nearest Neighbors in R Overview 01:08 Lazy vs. Eager Learning 02:14 Lazy learning 03:23 The k-Nearest Neighbors ...

11:05

K Nearest Neighbors in R: Distance, Voting, and Choosing k

1 view

6 days ago

Eduardo Ogasawara

Support Vector Machines in R: Margins, Kernels, and Classification

00:00 Support Vector Machines in R Overview 00:59 Support vector machine , General Philosophy 02:09 Support vector machine ...

13:12

Support Vector Machines in R: Margins, Kernels, and Classification

16 views

6 days ago

DataTech

Multiple Linear Regression with Python | Predicting House Prices with Multiple Variables

Learn how Multiple Linear Regression, a supervised machine learning technique, can be used to predict a continuous outcome ...

14:22

Multiple Linear Regression with Python | Predicting House Prices with Multiple Variables

2 views

3 days ago

Igor DS: ИИ, Наука и Творчество

We've already used logistic regression for problems with only two options: sick or healthy, yes or no, class 0 or class 1 ...

3:39

dsall7 02

124 views

1 day ago

Kapil Joshi Tutorials

Applications of SVM in Research | Support Vector Machine Real-World Applications | Machine Learning

... Methodology: https://youtube.com/playlist?list=PLbWkMgLvWbDFCGflEmzmdz5SBkgWpq_Nf Data Warehouse & Data mining: ...

11:50

Applications of SVM in Research | Support Vector Machine Real-World Applications | Machine Learning

40 views

7 days ago

Eduardo Ogasawara

Ensemble Learning in R: Bagging, Boosting, and Random Forest

00:00 Ensemble Learning in R Overview 01:09 Ensemble Methods: Boosting Accuracy 02:25 Bagging: Bootstrap Aggregation ...

15:30

Ensemble Learning in R: Bagging, Boosting, and Random Forest

2 views

6 days ago

Eduardo Ogasawara

Sampling in R: Random, Stratified, and Cross-Validation Splits

00:00 Sampling Strategies in R Overview 01:00 Sampling in Data Mining 02:08 Types of Sampling 03:21 Sampling: With or ...

15:05

Sampling in R: Random, Stratified, and Cross-Validation Splits

1 view

6 days ago

Godlike Academy

AI-901 Azure AI Fundamentals · Lesson 18: Sentiment Analysis Use Cases

Learn Sentiment Analysis — Lesson 18 in our AI-901 series. Module: Identify AI Concepts Chapters 0:00 Reading Emotion at ...

11:02

AI-901 Azure AI Fundamentals · Lesson 18: Sentiment Analysis Use Cases

0 views

5 days ago

STREAMWAY TECHNOLOGIES PVT LTD

Federated Learning With Deep NN A Privacy-Preserving Approach to Enhanced ECG Classification

Contact:: 9493040484,9640257292 Email: StreamwayTechnologiesPvtLtd@gmail.com Website: ...

7:29

Federated Learning With Deep NN A Privacy-Preserving Approach to Enhanced ECG Classification

3 views

4 days ago

Singularity Feed - Everything AI

Clustering Metrics Explained: Silhouette, ARI, NMI & More

A clustering result can look convincing while different evaluation metrics disagree. This visual guide explains why—and shows ...

10:03

Clustering Metrics Explained: Silhouette, ARI, NMI & More

8 views

5 days ago

Inferiment

... LLMOps, Model Training, Model Inference, Feature Engineering, Data Science, Data Mining, Predictive Analytics, AI Automation ...

1:04

Session 10 - Tokenization explained AV

0 views

5 days ago

Inferiment

... LLMOps, Model Training, Model Inference, Feature Engineering, Data Science, Data Mining, Predictive Analytics, AI Automation ...

1:06

Session 11 - Embeddings Explained AV

1 view

5 days ago

Smart Data Stories

Conformance Checking Explained: When Reality Differs from the Process

You have mapped your real process. You know the main path, the variants and the exceptions. But does the process actually ...

8:13

Conformance Checking Explained: When Reality Differs from the Process

5 views

1 day ago

Nexaan

A three-tier classification structure, engineered once to component and part level and ready to scale to every asset that shares it.

2:10

Asset Library Module

6 views

7 days ago

ViewTube