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#K-Nearest Neighbors

Showing: 23 courses
NPTEL

Data Mining

25 rewiews
Comprehensive exploration of data mining techniques, covering preprocessing, association rules, classification methods, and clustering algorithms for extracting valuable insights from datasets.
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36 Lesons
16 hours
On-Demand
Free-Video

Machine Learning with Python

0 rewiews
Comprehensive Python tutorial covering machine learning concepts, algorithms, and deep learning with TensorFlow. Includes hands-on projects and real-world applications.
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72 Lesons
19 hours
On-Demand
Free-Video

Tabular Data

0 rewiews
Learn machine learning techniques for tabular data, including model evaluation, feature engineering, tree-based models, hyperparameter tuning, and neural networks using AWS SageMaker.
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17 Lesons
4 hours 30 minutes
On-Demand
Free-Video

E2EML - How Selected Models and Methods Work

0 rewiews
Explore key machine learning algorithms and methods, including decision trees, Bayes Theorem, autocorrelation, Support Vector Machines, and k-nearest neighbors, in this comprehensive video series.
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5 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Augmented Startups

Machine Learning Fun and Easy

0 rewiews
Explore popular machine learning concepts through engaging lectures covering regression, clustering, neural networks, and more. Gain fundamental knowledge in an accessible, enjoyable format.
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13 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Great Learning

Application of Classification Algorithms

0 rewiews
Explore popular classification algorithms, their comparisons, and real-world applications through a case study on employee promotion prediction using various techniques.
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10 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Tech with Tim

Python Machine Learning & AI Mega Course - Learn 4 Different Areas of ML & AI

0 rewiews
Comprehensive exploration of machine learning and AI in Python, covering algorithms, neural networks, chatbots, and game AI. Hands-on projects and in-depth explanations for practical skills development.
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33 Lesons
7 hours 34 minutes
On-Demand
Free-Video
Brandon Rohrer

How K-Nearest Neighbors Works

0 rewiews
Explore k-nearest neighbors algorithm for classification and regression, including key considerations like k value, feature scaling, and distance metrics.
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8 Lesons
26 minutes
On-Demand
Free-Video
Great Learning

Ultimate Machine Learning Projects with Python for Beginners - 2024

0 rewiews
Master Python-based machine learning through hands-on projects, from basic algorithms to advanced applications like fake news detection, predictive maintenance, and emotion recognition. Build a portfolio with real-world implementations.
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33 Lesons
9 hours 7 minutes
On-Demand
Free-Video
5 Minutes Engineering

Machine Learning and Neural Networks: K-Nearest Neighbors - Day 9

0 rewiews
Explore K-Nearest Neighbors algorithm for machine learning and neural networks, covering its principles, implementation, and applications in classification and regression tasks.
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1 Lesons
34 minutes
On-Demand
Free-Video
IEEE

On the Robustness of Deep K-Nearest Neighbors

0 rewiews
Explore the robustness of Deep k-Nearest Neighbors against adversarial attacks, proposing a heuristic method to find vulnerabilities in this defense mechanism for deep learning models.
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13 Lesons
16 minutes
On-Demand
Free-Video
Pascal Poupart

CS480-680 - K-Nearest Neighbours

0 rewiews
Learn about k-nearest neighbours algorithm for classification and regression, including examples, machine learning concepts, and accuracy considerations.
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12 Lesons
1 hour 29 minutes
On-Demand
Free-Video
Fields Institute

Machine Learning Approaches for Predicting Seismic, Acoustic and Atmospheric Data

0 rewiews
Explore machine learning techniques for predicting seismic, acoustic, and atmospheric data, focusing on KNN and neural networks with uncertainty quantification for improved accuracy.
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23 Lesons
41 minutes
On-Demand
Free-Video
LLMOps Space

Vector and Keyword Search for Enhanced LLM Performance

0 rewiews
Explore hybrid search techniques combining keyword and vector algorithms to enhance LLM performance, including metadata filtering, TF/IDF ranking, and advanced vector search methods.
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1 Lesons
53 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

K-Nearest Neighbors (KNN) Algorithm - Introduction and Applications

0 rewiews
Explore k-Nearest Neighbors algorithm: concepts, applications, assumptions, implementation, and optimization techniques for effective machine learning.
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9 Lesons
26 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

K-Nearest Neighbors Implementation in R

0 rewiews
Implement K-Nearest Neighbors algorithm in R programming language. Learn practical application of this machine learning technique for classification and regression tasks.
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1 Lesons
29 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Neo4J GDS: Node Embeddings Algorithms for Data Science and Machine Learning

0 rewiews
Explore node embedding algorithms in Neo4J GDS for data science and machine learning, creating powerful graph-based representations.
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1 Lesons
26 minutes
On-Demand
Free-Video
Data Science Festival

Introduction to Machine Learning: Classification Techniques - Part 2

0 rewiews
Explore classification techniques in machine learning, including logistic regression and KNN, with practical insights from industry experts.
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1 Lesons
58 minutes
On-Demand
Free-Video
Google TechTalks

Revisiting Nearest Neighbors from a Sparse Signal Approximation View

0 rewiews
Explore nearest neighbor methods from a sparse signal approximation perspective, uncovering improved neighborhood definitions and their applications in graph-based signal processing and machine learning.
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26 Lesons
50 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

The Quest for Adaptivity in Machine Learning - Comparing Popular Methods

0 rewiews
Explore supervised learning algorithms' strengths and weaknesses, comparing k-nearest-neighbor, kernel methods, and neural networks for adaptivity and performance across various problems.
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17 Lesons
32 minutes
On-Demand
Free-Video
nanohubtechtalks

Machine Learning for Predicting Additive Manufacturing Part Quality - Tutorial on Support Vector Regression

0 rewiews
Learn to predict additive manufacturing part quality using support vector regression. Explore data analysis, hyperparameter tuning, and cross-validation techniques for machine learning in 3D printing applications.
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18 Lesons
55 minutes
On-Demand
Free-Video
UofU Data Science

Classification Methods: KNN, Decision Trees, and Neural Networks - Lecture 28

0 rewiews
Dive into essential machine learning classification methods, exploring KNN algorithms, decision trees, random forests, and neural networks for practical data analysis applications.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Augmented Startups

Machine Learning Course for Beginners - Theory

0 rewiews
Comprehensive introduction to machine learning theory, covering algorithms, neural networks, and computer vision topics through engaging whiteboard animations designed for beginners.
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21 Lesons
3 hours 20 minutes
On-Demand
Free-Video