Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Automated Tool for Optimized Modelling

Visualization and Imputation of Missing Values

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 select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Graphical user interface for designing and simulating model predictive control using MATLAB and the Multi-Parametric Toolbox 3

Fake Music

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 select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

R package for data cleaning, preliminary data analysis and modeling assessing with visualisation.

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 achieve the carbon footprint variable.

This repo contains python scripts that are needed to deploy a machine learning model behind gRPC running using asyncio.

Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.

Customer lifetime value predictions

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.

Decision-Tree

Credit card fraud detection-prediction model

Gesture Recognition Python Backend

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Cadivascular Disease Prediction

No description provided.

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, and performance metric calculations

This project is part of an assessment for the Data Science Pathway of the Talent Mobility Program by Azubi Africa.

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 Flask app on Render, offering an interactive interface for predictions.

use Logistic Regression to predict student result based on features like math score,lunch, gender, prepaaration and so on.

Built an interactive Machine Learning Model based on Gradio Application that predicts the price of laptops based on the configuration provided by the user.

🧬Protein Functions Prediction through Amino Acids Sequences🧬

A proof-of-concept on how to install and use Torchserve in various mode

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

This repo contains a python script which is a fastapi backend server that can be used for model (Image classification) predictions

A streamlit web application serving an XGBoost model trained to predict customer churn.

Contains Data related content with R