A simple python program that implements a very basic Multiple Linear Regression model

Machine learning, database, and quant tools for forex trading.

All exercises for the course Elements of AI - Building AI

A simple python program that implements a very basic Linear Regression model

A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.

Predict which customers should a call-center call for greater assertiveness in a sale

This is a car price prediction web app, which predicts the price of the car on the basis of some inputs.

Developed Machine Learning models in Python to correctly Recognize handwritten letter and face images by training and later testing the models. The machine learning algorithms developed were Support Vector Machine, K- Nearest Neighbor and Nearest Centroid Classifier.

Linear regressor ML model, with just numpy and pandas

This repository contains programs in the Python programming language using Module Streamlit.

Soil moisture analysis , prediction and decision making to irrigate or drain water from field using Machine Learning ,numpy ,pandas , sklearn , matplotlib , Gradient Boosting Regressor model, linear regression model .

Shiny app visualization of answers to the survey of business conditions in two refugees camps in Rwanda

Developed simple python program that implements Linear Regression on a sample dataset. The object of the class is declared and is fitted with the X_Train and Y_Train data. A graph is plotted using the matplotlib.pyplot to visually represent the Linear Regression model. The programuses sklearn.linear_model from the scikit-learn library to import …

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries

The aim of our project is to analyze past years' bird strike data with respect to the phase of flight, time of day, pilot warning status, and various other parameters.

Data-Driven Decision Making: Selecting the Best Regression Model for E-commerce Sales

Implementing Linear Regression using various programming languages and frameworks

A project from my python class during my sophomore year. Utilizes matplotlib and sklearn to predict profit at Walmart locations based on city population.