Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Updated
Jul 18, 2024 - Python
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Visualization and Imputation of Missing Values
Automated Tool for Optimized Modelling
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
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 Mo…
Decision-Tree
Fake Music
Finding Donors for CharityML
A Flask Web Service that uses Machine Learning to make predictions based of a Power Production of a Wind Turbine Data Set.
Cadivascular Disease Prediction
Red wine quality prediction machine learning model.
This repo contains a python script which is a fastapi backend server that can be used for model (Image classification) predictions
R package for data cleaning, preliminary data analysis and modeling assessing with visualisation.
Used libraries and functions as follows:
This repo contains python scripts that are needed to deploy a machine learning model behind gRPC running using asyncio.
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
🧬Protein Functions Prediction through Amino Acids Sequences🧬
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.
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