Build a machine learning model to predict sales.

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

Using Google Colab, Google Drive and Kaggle notebook API on Eploratory Analisys and Linear Regression

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

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

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.

Finding Similar Pairs using PySpark

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

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

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

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

Kaggle API to fetch user's profile data and activity

Achieved 99% Accuracy on test set

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

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

Timeseries data of COVID-19 reported cases in India and supporting Python Jupyter notebooks.