ML Essence

Machine Learning Essence is a niche Python project with educational purposes in both machine and human senses.

The project contains 4 ML models: regressor, classifier, clustering model, time series forecaster.

To start using it run:

• streamlit run ui_regression.py for regressor
• streamlit run ui_classification.py for classification
• streamlit run ui_clusterization.py for clusterization
• streamlit run ui_timeseries.py for time series forecasting

Requirements:

Package Name	Description
numpy	Scientific computing library
matplotlib	Visualisations library
six	Compatibility library
pandas	Data analysis toolkit
pillow	Imaging library
tensorflow	Machine learning framework
streamlit	Web interface framework

Check requirements.txt

Shapes of linear regressor values:

Where m - number of training values, n - number of features (units)

1. X - (m, n)
2. W - (n, 1)
3. Y - (m, 1)

Data analysis:

Wine Dataset
Mosquito Dataset
Water Dataset