Machine learning, database, and quant tools for forex trading.
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Updated
May 22, 2018 - Python
Machine learning, database, and quant tools for forex trading.
A simple python program that implements a very basic Multiple Linear Regression model
All exercises for the course Elements of AI - Building AI
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.
A simple python program that implements a very basic Linear Regression model
Predict which customers should a call-center call for greater assertiveness in a sale
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 .
A real-time facial measurement tool that uses MediaPipe and linear regression to assist customers in selecting appropriately sized glasses when ordering online. It detects facial landmarks via webcam, estimates the distance from the camera, dynamically overlays glasses on the face, and displays measurements such as eye width and eye distance.
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.
A collection of linear regression models demonstrating their application and versatility with various datasets. Each model illustrates the relationships between input variables and target outputs, serving as educational resources for understanding linear regression concepts.
Linear regressor ML model, with just numpy and pandas
Shiny app visualization of answers to the survey of business conditions in two refugees camps in Rwanda
A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
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 …
For our PAI course project, we are building several disease prediction systems, including heart disease, diabetes, Parkinson's, and breast cancer classification. Using machine learning algorithms, we aim to analyze patient data and improve the accuracy of early diagnosis, providing valuable insights to healthcare professionals.
A Python implementation of Linear Regression for air quality prediction using PM2.5 data.
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