adotg/knn-what-how-why

What is knn? How is knn done? Why is knn needed?

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burhanahmed1/TwitSpark

Advanced Twitter sentiment analysis pipeline using Apache Spark for distributed data processing, featuring TF-IDF–based feature engineering and stochastic gradient-descent classification for scalable, real-time sentiment insights.

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Jspano95/Retail-Customer-Classification-Modelling

Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

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NemesLaszlo/DataSet_Builder_and_Analyzer

DataSet builder with scraping and data warehouse analysis

Language: Python - Size: 261 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

ms-daniel/II-Projeto-IA

Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.

Language: Python - Size: 90.8 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

hbuddana/Machine_Learning_Projects

No amount of theory can replace hands-on practice. Textbooks and lessons can lull you into a false belief of mastery because the material is there in front of you. But once you try to apply it, you might find that it’s harder than it looks.👩‍🔬📗📊

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2

MichaelC-Lawson/MSDA_Program_Portfolio

MSDA Program Portfolio

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chinmoyt03/Machine-Learning-Based-Selection-of-PhD-Admission

The project discusses using machine learning to predict doctoral program admissions and compares the performance of Logistic Regression and KNN models, finding that KNN outperforms Logistic Regression.

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Rcode879/Handwritten-digit-detector

A school machine learning project based on the Knearest neighbours model

Language: Python - Size: 2.66 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shahriarearaf/knn-implementation

knn implemented on a dataset from kaggle

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ashu-2808/Data-Science-using-Python

Detailed Data Science using Python-Jupyter Notebook ( Data Analysis using Pandas and NumPy, Visualization using plotly express, Exploratory Data Analysis, Supervised ML models: Linear Regression, KNN, Logistic Regression, Support Vector Machine, Decision Trees Ensemble Models: Voting Bootstrap/ Bagging Aggregation, Unsupervised: K-Means

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anandanraju/Salary_Prediction_and_Analysis

K-nearest neighbors (KNN) is a type of supervised learning algorithm used for both regression and classification. KNN tries to predict the correct class for the test data by calculating the distance between the test data and all the training points. Then select the K number of points which is closet to the test data.

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smh997/Transactions-Results-Prediction

Predicting the results of the given transactions by classification

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samujjwaal/Modelling-US-Election-Data

Data Modelling on 2018 US midterm Election Data and US Demographic Data. Creating regression, classification and clustering models.

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Tonumoy/Machine-Learning-Models

Simple ML models to understand and practice the basic ML concepts

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boorooksus/Biocomputing2020

빅데이터 분석을 이용한 생물 데이터 분석

Language: Python - Size: 1.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Adityasangle/CognitiveAI-ML

This Repository contains cognitiveai class's all practice labs.

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subhailams/care_me

Real-Time spontaneous abortion prediction and Health assessment of Pregnant women using Machine Learning and IoT.

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ReydVires/knn-with-cross-validation

Language: Lua - Size: 209 KB - Last synced at: about 11 hours ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

shushantkumar/ML-Models

Machine Learning Models

Language: Python - Size: 724 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 2

bobbyrathoree/K-Nearest-Neighbors-without-scikit-learn

A K Nearest Neighbors classifier developed from scratch for self-learning purposes. Accuracy is off the charts, since we have full control on the algorithm.

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umangrmehta/image-orientation-classifier

Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm

Language: Python - Size: 6.83 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1