https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html

https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html

Nowadays, machine learning algorithms are successfully employed for classification, regression, clustering, or dimensionality etc.

This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.

Kaggle API to fetch user's profile data and activity

Leveraging AutoGluon, this project predicts bike sharing demand by integrating advanced automated machine learning techniques with extensive data exploration and hyperparameter optimization.

End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).

Cummulative DS3 Datathon Leaderboard

Importing data using a kaggle dataset on the number of london bike rides throughout the year into a python script with the kaggle api. Clean data using pandas library, then create a Tableau Dashboard to visualize data

A clustering analysis on the Spotify Million Dataset with KMeans algorithm

this repo shows how to load data from Kaggle to colab directly

[WINNER! 🏆] Psychopathology FER Assistant. Because mental health matters. My project submission for #TFWorld TF 2.0 Challenge at Devpost.

🤖 A client for the Kaggle API, written in C#/.NET

Using supervised learning on Lending Club loan data to predict default and / or bad loans

Data Analysis and Data Visualization with matplotlib

This notebook tries to preprocess the .wav files and by generating their spectrogram, we can turn the problem into a image classification problem.

🏁 API client for Kaggle