A cluster of Machine Learning algorithms

Deep Neural Network for Weather Time Series Forecasting

A Mathematical Intuition behind Linear Regression Algorithm

Models for Predicting Missing Stock Prices.

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.

A Collection of Utilities for Modeling Conditional Data Using Generalized Linear Models

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Basic Feed Forward Neural Network Implementation with ELU activations and MSE loss/Cross entropy loss for uni-variate regression. Uses Optuna for Hyperparameter search

linear regression with gradient descent-univariate and multivariate on house pricing dataset

This is an implementation of univariate linear regression from scratch in Python

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Using auto regressive time series models to fit univariate equations in data.

This includes various assignments I worked on learning Data Mining in R Studio

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.

Univariate model that predicts employee salary based on their years of experiences, using gradient descent

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.

Univariate Linear Regression using sklearn on Diabetes Dataset

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.

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.

code will related to time series data and forecast

Univariate Linear Regression Model for Predicting Weight based on Height

Linear regression model using gradient descent from scracth.

Univariate model that predicts employee salary based on their years of experience.

Machine Learning topics and code examples from coursework

Comparing the trend of land temperature and forecasting in 3 different areas of the world

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.

🤖 Implement linear regression from scratch in Python using NumPy to grasp its fundamentals, including cost function and gradient descent training.