Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
翻译 - 快速构建可解释的 AI 仪表板，显示所谓的“黑盒”机器学习模型的内部工作原理。
#计算机科学#Automated Tool for Optimized Modelling
Graphical user interface for designing and simulating model predictive control using MATLAB and the Multi-Parametric Toolbox 3
Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and sele...
R package for data cleaning, preliminary data analysis and modeling assessing with visualisation.
Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and s...
This Project analyses the carbon footprint of the U.S. commercial sector using three machine learning models. A combination of energy consumption data and carbon dioxide emission data was used to achi...
Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
Decision-Tree
Gesture Recognition Python Backend
Applied clustering algorithm on 29 countries to narrow scope of analysis. Time series forecasting of solar energy potential of a country using fbprophet and neural networks.
#计算机科学#Customer lifetime value predictions
#计算机科学#A machine learning project to predict red wine quality using the Kaggle dataset. It includes data preprocessing, feature engineering, model training (XGBoost with 95.8% accuracy), and deployment via a...
#计算机科学#This repo contains a python script which is a fastapi backend server that can be used for model (Image classification) predictions
#计算机科学#A streamlit web application serving an XGBoost model trained to predict customer churn.
#计算机科学#Credit card fraud detection-prediction model
This repo evaluates Logistic Regression, Random Forest, and Support Vector Machine models for predicting stroke risk. Implemented in Python, the project includes data pre-processing, model training, a...
#计算机科学#Cadivascular Disease Prediction