GitHub topics: root-mean-square-error
aaaastark/Intrusion-Detection-System-MQTT-Enabled-IoT
Intrusion Detection System for MQTT Enabled IoT.
Size: 1.55 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Aaryan015/AI-book-recommender-system
Hybrid recommender system - Collaborative filtering + Content based filtering (same as used by Netflix).
Language: Jupyter Notebook - Size: 6.16 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

IsmaelMousa/house-price-prediction
End to end machine learning pipeline for house price prediction, including exploratory data analysis, data preprocessing, models training & evaluating
Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Azie88/Regression-Energy-Data
Machine Learning Regression Model to Predict Energy Efficiency of Buildings
Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

NikamAshutosh/Python-Projects
Developed a sophisticated house price prediction model incorporating data pre-processing, feature engineering, and Linear Regression, validated by Root Mean Squared Error (RMSE) evaluation.
Language: Python - Size: 11.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Vivek-Tate/Population-Forecast-Prediction
Population Prediction forecasts the Haggis population on a mountain. Ecologists have recorded the population over five years and have satellite estimates. The goal is to predict the true population 12 months ahead using machine learning and time series analysis techniques. This project is for the COM6509 - Machine Learning and Adaptive Intelligence
Language: Jupyter Notebook - Size: 319 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AloRay/GAS-PRICE-FORECASTING
This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies
Language: Jupyter Notebook - Size: 430 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

Jhay001/EDA-And-Sales-Prediction-using-SLR
The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.
Language: HTML - Size: 486 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

BJones47/Linear-Regression
Using machine learning, get the features and labels from the csv and perform cross fold validation and linear regression.
Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

pprattis/k-fold-cross-validation-and-Root-Mean-Square-error
A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.
Language: Java - Size: 47.9 KB - Last synced at: 26 days ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

TahsinGormus/basicConcepts
Some codes that I prepared for fundamental research interests.
Language: MATLAB - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Prajna-Ramamurthy/GDSC-AI-ML-Member-Recruitments
This Kaggle competition challenges participants to use a modified version of the POWER NASA Temperature Dataset to build forecasting models.
Language: Jupyter Notebook - Size: 203 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

gurol/BenchMetricsProb
BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems
Size: 690 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

omogbolahan94/Car-Price-Prediciton
Building a logistic regression from scratch without using any external machine learning library. It is done to demonstrate my understanding of the intuition of the logistic regression model
Language: Jupyter Notebook - Size: 161 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

terpyPy/math125GradeCalc
script for simulation of a Student gradebook & statistical calculation of class averages.
Language: Python - Size: 84 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

reevesba/data-mining
Techniques for data mining.
Language: Java - Size: 22.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

sbmagar13/Covid-19_Prediction
Covid-19 prediction (For Nepal) with different MODELS (Sigmoidal, Linear Regressor, Random Forest Regressor) and comparisons
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
