johannpower/Predicting-Car-Prices

K-nearest neighbors ML algorithm to predict car market prices

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johannpower/Predicting-House-Prices

Multiple linear regression model to predict house prices

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somjit101/DS-kNN-K-Fold-CV

An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.

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RATHOD-SHUBHAM/DataMining-FiveTask

Data Mining project : Built a classifier, trained a classifier, created clusters, performed 5-fold-cross-validation.

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srikanthv0610/House_Price_Prediction

Using the dataset compiled by Dean De Cock. Applying Feature Transformation, Feature Selection and K-fold Cross Validation

Language: Python - Size: 769 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ruchika997/Survivors_of_titanic

Machine Learning project to predict the survivors/dead in the test dataset.

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martell-n-tardy/Boston-Housing-Case-Study

In this case study target variables are explored while using two ways of fitting a linear regression model to predict Boston housing prices. The the least squares method is used to estimate the coefficients.

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steciuk/PSZT-ID3-algortihm

Classification of mushrooms using decision tree in ID3 implementation

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umangU/KNN-KFold

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angelina-ss/sentimentAnalysis

Sentiment analysis using TextBlob library in Python to find correlation between stock price and Twitter sentiment

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Davidelvis/Ad_Campaign_project

Ad campaign performance evaluation using AB Testing

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JingweiToo/Machine-Learning-Toolbox-Python

This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.

Language: Python - Size: 63.5 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2

pprattis/k-nearest-neighbors-accuracy-scores

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings.

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rishabdhar12/HR-Analytics

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

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suryanktiwari/Linear-Regression-and-K-fold-Cross-Validation

Implementing Linear Regression for various degrees and computing RMSE with k fold cross validation, all from scratch in python.

Language: Python - Size: 410 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

safakozdek/CMPE462-Machine-Learning-Homeworks

Homeworks of CMPE462 course in Bogazici University

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Develop-Packt/Model-Optimization-and-Assessment

Practice model assessment and optimization on the HR dataset using validation and dimensionality reduction techniques

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ashkanmradi/MLP-classifier

using Multi-Layer Perceptron (MLP) to analyze its different settings on the Iris and Glass identification datasets

Language: Python - Size: 829 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ankushjain2001/LIME-Explainable-Binary-Classification

An explainable and interpretable binary classification project to clean data, vectorize data, K-Fold cross validate and apply classification models. The model is made explainable by using LIME Explainers.

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