Finding Donors for CharityML
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Updated
Jul 14, 2017 - HTML
Finding Donors for CharityML
R package for data cleaning, preliminary data analysis and modeling assessing with visualisation.
Fake Music
Gesture Recognition Python Backend
Decision-Tree
A Flask Web Service that uses Machine Learning to make predictions based of a Power Production of a Wind Turbine Data Set.
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.
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…
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.
Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
Contains Data related content with R
Final project for the IBM for Data Analysis module. Statistical analysis and Model Evaluation with Python using Seattle housing data
Red wine quality prediction machine learning model.
Used libraries and functions as follows:
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.
Customer lifetime value predictions
This repo contains a python script which is a fastapi backend server that can be used for model (Image classification) predictions
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