There are 2 repositories under model-predictions topic.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Visualization and Imputation of Missing Values
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 select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
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.
Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
Gesture Recognition Python Backend
Customer lifetime value predictions
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.
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.
Decision-Tree
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.
Contains Data related content with R
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
A proof-of-concept on how to install and use Torchserve in various mode
A Flask Web Service that uses Machine Learning to make predictions based of a Power Production of a Wind Turbine Data Set.
This repo contains a python script which is a fastapi backend server that can be used for model (Image classification) predictions
Used libraries and functions as follows:
Red wine quality prediction machine learning model.
This repo contains python scripts that are needed to deploy a machine learning model behind gRPC running using asyncio.
Finding Donors for CharityML
🧬Protein Functions Prediction through Amino Acids Sequences🧬
Final project for the IBM for Data Analysis module. Statistical analysis and Model Evaluation with Python using Seattle housing data