univariate-regressions
There are 28 repositories under univariate-regressions topic.
RiteshPuvvada/Machine-Learning-Lab
A cluster of Machine Learning algorithms
JuzerShakir/Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
NishalThampan/Demand_Forecasting
A demand forecasting model for an E-Commerce retailer, built using KPIs from Google Analytics & implemented in RStudio. Models: time-series, ARIMA, Regression (multivariate & dynamic). Open-source & contributions welcome.
ibodumas/missing_stock_prices
Models for Predicting Missing Stock Prices.
StatisKit/GLM
A Collection of Utilities for Modeling Conditional Data Using Generalized Linear Models
AbogAscended/FeedForwardImplementation
Basic Feed Forward Neural Network Implementation with ELU activations and MSE loss/Cross entropy loss for uni-variate regression. Uses Optuna for Hyperparameter search
ngupta66/weather_forecast
Deep Neural Network for Weather Time Series Forecasting
abhijitchavda/LinearRegressionFromScratch
This project focuses on predicting stock prices using a univariate linear regression algorithm, built entirely from scratch without the use of any machine learning libraries such as Scikit-learn or TensorFlow.
Afra233/R---Data-Mining-
This includes various assignments I worked on learning Data Mining in R Studio
AliKhajegiliM/ML-Regression
Linear regression model using gradient descent from scracth.
habibdanesh/univar_lin_reg
Univariate Linear Regression in Python
iamcrj/Linear_Regression_In_Python
Simple Linear Regression in Python using Scatter Plot. Update it with your dataset. This code will work for any dependency of form H:X->Y . I have attached a pdf document of my own notes for this model. Feel free to download. Note : The pdf is for help purpose. Any type of reuse or restructuring is subject to copyright.
Raniaaloun/Linear-Regression-from-scratch
Univariate model that predicts employee salary based on their years of experiences, using gradient descent
rgoggins/auto-regressive-modeling
Using auto regressive time series models to fit univariate equations in data.
AlJonny/WorkSamples_DataScience
Machine Learning topics and code examples from coursework
AShirsat96/Univariate_Linear_Regression_SKLEARN
Univariate Linear Regression using sklearn on Diabetes Dataset
guevara-erik/Study-Score-Correlation-Univariate-Linear-Regression
Problem to solve: How long do you have to study to get a specific score. We can try to see a pattern in that data and predict a score based on how many hours the subject studies.
manisha-nair28/Weight-Predictor
Univariate Linear Regression Model for Predicting Weight based on Height
n0obcoder/Univariate-Linear-Regression-in-Numpy
This is an implementation of univariate linear regression from scratch in Python
ranbm/linear-regression-gradient-descent
linear regression with gradient descent-univariate and multivariate on house pricing dataset
Raniaaloun/Linear-Regression-scikit-learn-library
Univariate model that predicts employee salary based on their years of experience.
rud-ninja/land_temperature_forecast
Comparing the trend of land temperature and forecasting in 3 different areas of the world
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.
TrilokiDA/Time-Series-Forecasting
code will related to time series data and forecast
ZakirCodeArchitect/Model-Capacity-in-Regression-Analysis
This project examines how model complexity and training size impact prediction stability in polynomial regression. By analyzing models of degrees 1 to 4 with confidence intervals, we gain insights into balancing overfitting and underfitting for optimal model selection.