This project is a python-based ... is to perform classification using the K-Nearest Neighbors algorithm. We also visualize the high dimensional data using t-SNE for dimensionality reduction, perform ...

The classifier object is named model and is instantiated by setting up its parameters as a Python Dictionary collection named params. The main challenge when using LightGBM is wading through the ...

This Python package focus on the deployment of gesture control ... is the intermediate representation of human bodies as key points to perform efficient classification. In addition to the main ...

This is a collection of my personal notes for Data Visualization in Python. Originally I had kept these in a collection of Jupyter notebooks, but it will be much more useful to just put them online so ...

Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization ...

Using Python in Visual ... with TensorBoard, the visualization toolkit for TensorFlow, a leading open source ML platform used for developing and training ML models created by Google. Its primary use ...