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.

Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

Comprehensive collection of research papers, summaries, implementations, and resources related to computer vision, deep learning, and machine learning

This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.

Now its time to work on a Project based on a real life Business Problem. In this Project, we will be using all the skills that you have acquired throughout this course. Problem Statement Your client is a retail banking institution. Term deposits are a major source of income for a bank

To Create a predictive model to classify whether a person is running or walking based on the given predictor variables.

BASE ON GIVEN FEATURE AND MESUREMENT PREDICT WHETHER PATIENT WILL HAVE HEART DISEASE OR NOT.

Model to Predict the status of a genetic biomarker important for brain cancer treatment

A repository containing some real world applications of machine learning.

The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

Data-Science/Machine learning using R Programming

Enhancing Manufacturing Efficiency through AI- driven Predictive Maintenance

This project showcases a vision-based helmet and travel lane detection system for cyclists. The technology can act as a monitor to see if the cyclist is using his or her designated lane and wearing a helmet.

Depot de notebook python d'algorithmes de machine Learning nécéssaires à l'analyse de sentiments

Python implementation of ML algorithms

A deep-learning model that can accurately predict hospital readmission rates for patients with specific medical conditions

Forge your future in AI – from fundamentals to future-tech