Topic: "multivariate-regression"
chhayac/Machine-Learning-Notebooks
15+ Machine/Deep Learning Projects in Ipython Notebooks
Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 130 - Forks: 103
elcorto/pwtools
pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.
Language: Python - Size: 21.3 MB - Last synced at: 27 days ago - Pushed at: 6 months ago - Stars: 71 - Forks: 17
andreachello/Applied-Econometric-Time-Series
A repository to explore the concepts of applied econometrics in the context of financial time-series.
Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: 25 days ago - Pushed at: almost 6 years ago - Stars: 40 - Forks: 11
tstran155/Optimization-of-building-energy-consumption
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 31 - Forks: 8
dependable-cps/adversarial-MTSR
Language: Python - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 28 - Forks: 16
robinthibaut/skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
Language: Python - Size: 118 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 5
OpenMendel/MendelIHT.jl
Iterative hard thresholding for l0 penalized regression
Language: Julia - Size: 119 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 23 - Forks: 4
abmantz/lrgs
Code to perform multivariate linear regression using Gibbs sampling
Language: Jupyter Notebook - Size: 499 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 4
yashksaini-coder/Multivariate-Logistic-Regression---Telecom-Churn
Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.
Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 1
JBris/multivariate_analysis_examples
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
Language: Python - Size: 40 KB - Last synced at: 7 months ago - Pushed at: 12 months ago - Stars: 18 - Forks: 3
tirthajyoti/GradDescent
MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
Language: Matlab - Size: 149 KB - Last synced at: 5 months ago - Pushed at: over 8 years ago - Stars: 17 - Forks: 10
bhattbhavesh91/multivariate-adaptive-regression-splines-demo
A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python
Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 8
RiteshPuvvada/Machine-Learning-Lab
A cluster of Machine Learning algorithms
Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 6
atdemarco/svrlsmgui
A graphical multivariate lesion-symptom mapping toolbox
Language: MATLAB - Size: 37.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 3
OrestisMk/OrestisMk-Multivariate-forecast-with-VAR-SVR-RNN-LSTM
Forecasting exchange rates by using commodities prices
Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 2
kdyson/R_Scripts
Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
Language: R - Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3
yoshiya-usui/TRACMT
Robust transfer function analysis code for magnetotellurics
Language: C++ - Size: 210 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 7 - Forks: 2
taro-masuda/multivariate_analysis_exercise
Answers of exercises on "Introduction to Multivariate Analysis; from Linear to Nonlinear" (Iwanami Shoten, 2010) by Sadanori Konishi.
Language: TeX - Size: 4.9 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0
arghac14/CropYield-prediction
Predicting Crop Yield.
Language: Jupyter Notebook - Size: 921 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 5
mkln/meshgp
Bayesian spatial regression with Meshed Gaussian Process
Language: C++ - Size: 195 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0
Defcon27/Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
Language: R - Size: 13 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 7
yudai-il/Multivariate-Markov-Switching-Regressions
Multivariate Markov-Switching Models Regressions Framework
Language: Jupyter Notebook - Size: 479 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1
keanteng/flood_risk_model_2
🌍Flood risk modelling with logistic regression (multivariate)
Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0
mkln/spamtree
Spatial Multivariate Trees for Big Data Bayesian Regression
Language: C++ - Size: 572 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2
agarwaltanmay/prediction
Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani
Language: Matlab - Size: 8.89 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 4 - Forks: 4
octoflar/amber
Multivariate Bernstein polynomials
Language: Fortran - Size: 1.79 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0
friendly/VisMLM-course
Materials for my SCS Short course, Visualizing Linear Models: An R Bag of Tricks, Oct. 2021
Language: HTML - Size: 163 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
AndreasScharnetzki/MachineLearningFundamentals
A notebook about commonly used machine learning algorithms.
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
JuzerShakir/Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
Size: 296 KB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
Aariq/PCA-vs-PLS 📦
Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."
Language: R - Size: 310 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
prathmachowksey/Multivariate-Polynomial-Regression
Multivariate Polynomial Regression using gradient descent with regularisation
Language: Python - Size: 236 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
rtimbro185/syr_mads_ist718_big_data_analytics
Syracuse University, Masters of Applied Data Science - IST 718 Big Data Analytics
Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
ravising-h/Implementation-of-ML-Algo
Implementation of KNN, Multivariate Linear Regression
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2
kaustubholpadkar/Predicting-House-Price-using-Multivariate-Linear-Regression
Predicting House Price from Size and Number of Bedrooms using Multivariate Linear Regression in Python from scratch
Language: Jupyter Notebook - Size: 299 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2
LouisJalouzot/MLEM
Python implementation of Metric Learning Encoding Models
Language: Python - Size: 85.9 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 1
SergioIommi/Quant-Trading-Dashboards
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
syedfaiqueali/Data-Science-And-Machine-Learning-Bootcamp
Exploring Data Science and Machine Learning using Python.
Language: Jupyter Notebook - Size: 108 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
rtimbro185/syr_mads_scm651_business_analytics
Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics
Size: 22.1 MB - Last synced at: 5 months ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0
amarlearning/Linear-Regression-Iris-Dataset
Applied Multivariable Linear Regression on Iris Dataset
Language: Jupyter Notebook - Size: 647 KB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 3
yeachan153/Linear-Regression-Class
Creating a new linear regression class.
Language: TeX - Size: 706 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0
Abhishekmamidi123/Multivariate_Linear_Regression
Multivariate Linear Regression
Language: Python - Size: 158 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 2
north0n-FI/Multivariate-Regression---King-County-House-Prices
Supervised Machine Learning Using Regression Analysis
Language: Jupyter Notebook - Size: 126 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1
rashmishrm/Shopping-Elf Fork of SJSU272LabS17/Project-Team-6
This is personal AI shopping assistant android app, which helps in grocery shopping reminders
Language: Java - Size: 32.3 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 2 - Forks: 2
davidrsch/LSTM_RE
App to carry out simple experiments of the use of LSTM networks in time series forecasting. It allows users to solves univariate and multivariate regression problems by testing different set of features, and comparing the effectiveness of the obtained results.
Language: HTML - Size: 14.4 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1
jordandeklerk/sieve
Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation.
Language: Python - Size: 163 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
lucasangio01/vienna-airbnb
University group project: multivariate analysis of the Airbnbs in Vienna, Austria
Language: R - Size: 16 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1
dr-armani/dimensionality-reduction
Comparing Different Methods
Language: R - Size: 284 KB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
aarryasutar/Linear_Multivariate_Regression_on_Football_Statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
nhsengland/GPPS-online-services
Partial codebase for project characterising groups of NHS GP online service users based on 2021 GP Patient Survey.
Language: R - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
tash-g/WAAL-personality
Repository for wind-personality manuscript
Language: R - Size: 39.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
Axik0/OIL
Multivariate oil production time series analysis with XGBoost and neural networks
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
boycakra/Nba_Prediction
Predicting the results of NBA basketball games is important for both fans and team management staff. This study aims to predict NBA basketball game outcomes using a multivariate quadratic polynomial method and compare it with standard linear regression
Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
ldtcooper/ussr-obesity-corruption
Code for my working paper with Charles M. Becker, PhD of Duke University
Language: Jupyter Notebook - Size: 8.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
KatrojuSaiChaitanya/Regression_Analysis
Deriving a relationship between Schooling and life expectancy
Language: Jupyter Notebook - Size: 4.69 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
angelpatriciads/positivity-rate-multivariate-regression
In 2022, the COVID-19 pandemic has started to subside. Many people carry out normal activities, as if this virus was gone. However, people's activities and mobility, especially in the Indonesian region, still depend on the number of COVID-19 considering that there are still policies that must be obeyed to prevent an increase in the virus.
Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
juan-gamero-salinas/semioutdoor-spaces-singapore-supplementary-materials
The following data is Supplementary Material of the manuscript: "Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ microclimate performance and clustering in tropical high-density Singapore".
Language: R - Size: 1.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
Francisco0178/Multivariate-Forecasting-using-ARIMA-LM-ARIMAX-on-Pollution-Data
A multivariate time series forecasting of pollution data using ARIMA, LM & ARIMAX in R
Language: R - Size: 1.41 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
hardikasnani/diamond-price-and-carat-prediction
I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the Run-Time to take a situational decision to select the best model.
Language: Jupyter Notebook - Size: 694 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2
AsmaaEssamSultan/Optimization-Techniques-from-scratch
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
XnhuUcas/MSF
Multivariate Sparse Fusion
Language: MATLAB - Size: 49.8 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
madvid/42_ml_modules
[42 curriculum] One week to learn basics in Machine Learning! 🤖 (well, as one of the authors, It was just to get the XP because the pedago of 42Paris was too slow to give it to me). This project is a Machine Learning bootcamp created by 42 AI.
Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
baotramduong/Life-Expectancy-Prediction-with-H2O-AutoML
We will leverage population's information on immunization, mortality, social- economic and other health related factors and use Automatic Machine Learning H2O AutoML to make prediction on life expectancy of a certain population. We will also use Variable Importance Plot, Partial Dependence Plot, and SHAP Summary Plot to explain how each of our feature input affects our model prediction.
Language: Jupyter Notebook - Size: 60.7 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
NucciTheBoss/mtsr-datasets
Multivariate Time Series Regression data sets formatted to be trained on and manipulated by the jespipe application.
Size: 2.32 MB - Last synced at: 23 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
kanwartaimoor/univariate-multivariate-linear-regression
multivariate and univariate linear regression using MSE as cost function and gradient descent to minimize the cost function
Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
lordtt13/Advanced-NLP
Recurrent Neural Networks and their fun little usage
Language: Python - Size: 128 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
ilellosmith/bee6300
Multivariate Environmental Statistics (BEE6300) R Code
Language: R - Size: 19.2 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
LeondraJames/Bikeshare-Exploratory-Analysis
An exploratory analysis of the Kaggle bikeshare data set with the application of linear regression models, which are not optimal for this particular problem of predicting bikes rented.
Language: R - Size: 1.29 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
sourcecode369/Regression-Analysis
Implementation scripts of regression algorithms in python from scratch.
Language: Jupyter Notebook - Size: 406 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
neilthaker07/Shopping-Elf Fork of SJSU272LabS17/Project-Team-6
This is personal AI shopping assistant android app, which helps in grocery shopping reminders
Language: Java - Size: 32.3 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 0
kazuyanagisawa/real-estate-modeling
Statistical modeling of U.S. home prices using R (UCLA Economics 104 project). Includes data cleaning, diagnostics, and robust regression.
Size: 5.79 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
montimaj/gwArsenicR
An R package for modeling and estimating arsenic exposure from groundwater, based on epidemiological studies and existing concentration models.
Language: R - Size: 7.31 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Wb-az/pyspark-mlib-soundlevel-prediction
Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
LatiefDataVisionary/multivariate-analysis-college-task
Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
xgagandeep/Machine-Learning-Algorithms-without-using-ML-libraries.
This repository contains various links for repo for implementations of machine learning algorithms from scratch using Python
Language: Jupyter Notebook - Size: 771 KB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
clorischen-mz/Public-Health-Infrastructure
Built 20 multivariable logistic regression models to analyze the relationships between variables of local public health infrastructure and best practices
Language: R - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
mohamedasad10/LinearRegression
Showcasing the work done for the CSC312 Machine Learning assignment, where linear regression📈is implemented from scratch and compared with sklearn's library. The project highlights the importance of feature scaling and demonstrates how to optimize models for accurate predictions.
Language: Jupyter Notebook - Size: 997 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
TristanThorn/ml-from-scratch
Code snippets for a crash course in ml & biomed eng.
Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
samiemirza/weather-prediction
This project utilizes univariate and multivariate linear regression, to predict the temperature the next day, analyzing the provided dataset. The file contains a line by line walkthrough of the code, with an explanation of each step, along with ample visual and verbal analysis.
Language: Jupyter Notebook - Size: 924 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AlJonny/WorkSamples_DataScience
Machine Learning topics and code examples from coursework
Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Jybbs/Derailleur
A run-through of various data science techniques to analyze and visualize bike sharing trends, using the UCI Bike Sharing Dataset.
Language: Jupyter Notebook - Size: 36.5 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Ninad077/Machine_Learning-Gradient_descent_with_Multivariate_Linear_Regression
Content: Multivariate regression, Feature scaling, Polynomial regression, gradient descent, regression using sklearn
Language: Jupyter Notebook - Size: 3.92 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
pavanreddy2307/Regression_models
Explore various regression models including univariate and multivariate linear regression, along with regularization techniques such as Ridge Regression and Lasso Regression. This repository contains Jupyter Notebook files (.ipynb) demonstrating the implementation and usage of different regression models. Additionally, datasets used for training an
Language: Jupyter Notebook - Size: 182 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
unnatibshah/LASSO-and-Boosting-for-Regression
LASSO and Boosting for Regression on Communities and Crime data
Language: Jupyter Notebook - Size: 8.82 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
connoraking/Spotify-YouTube-Multiavariate-Analysis
R-based project that utilizes multivariate analysis of Spotify Metrics; specifically multiple multivariate regression and MANOVA.
Size: 8.94 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Nazafa26/Investigate_Data
This demonstrates some of the the Machine Learning Techniques
Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
riccmon/Machine-Learning
Lab sessions of the Machine Learning course of the Artificial Intelligence Master's degree at UniBo
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
manisha-nair28/Real-Estate-Price-Predictor
A multi-variate linear regression model that predicts real estate prices.
Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
VishalAnandV/Multivariate_Regression_Analysis
Multiplevariate Linear Regression, Gradient Descent with Python
Language: Jupyter Notebook - Size: 563 KB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
apoorvadudani/Forecasting-House-Prices-using-Multivariate-Causal-Regression
I use Microsoft Excel to forecast house prices for Damian Realty, identify factors affecting house prices using causal analysis, and provide inferences for realty stakeholders
Size: 52.7 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Folasade-Ojo/Expenses-prediction
An analysis done to determine the effect of some categorical variables on expenses.
Language: R - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
MichaelLivingston111/Remote-Sensor-Algorithms
A project that utilizes satellite data from NASA and predictive regressions on a global scale.
Language: Python - Size: 139 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
gkontogiannhs/Multivariate-Time-Series-Forecasting-LSTM-Regressor
Language: Jupyter Notebook - Size: 8.61 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
mjkim1001/AS21
Applied Statistics I, 2021, UNC at Chapel Hill-linear regression
Size: 729 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
yafo1948/ML_Reichman_Spring2022
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
Language: Jupyter Notebook - Size: 4.68 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
cremerf/NBAProjectII
Making estimations about NBA data using Sci-kit Learn. Feature engineering and preprocessing. Univariate, multivariate and logistic regression.
Language: Jupyter Notebook - Size: 761 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
DarkDk123/House-valuation-model
A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
Muradmustafayev-03/Weather-Forecast
A simple tutorial-like ML program, that forecasts the weather in Basel, comparing a custom regression library and Scikit-Learn linear model
Language: Jupyter Notebook - Size: 6.67 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
AboNady/Multiple_Linear_Regression_From_Scratch
A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries
Language: Python - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
rishi-more-2003/Multivariable-Regression-Predictor
A Multivariate Regression program which predicts the price of a used car from a dataset of previous 1400 used car sales using multiple regression models through Skilearn module in Python
Language: Jupyter Notebook - Size: 858 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
kiteomoru/Heart_Failure_survival_Data_Analysis
This project involves the statistical analysis of heart failure data obtained from Kaggle. Multivariate Logistic Regression and Survival analysis was done to identify factors affecting heart failure outcomes in patients.
Language: R - Size: 29.3 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
