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[WINNER! 🏆] Psychopathology FER Assistant. Because mental health matters. My project submission for #TFWorld TF 2.0 Challenge at Devpost.
🧪 Open source Kaggle discord bot.
Nowadays, machine learning algorithms are successfully employed for classification, regression, clustering, or dimensionality etc.
Achieved 99% Accuracy on test set
Finding Similar Pairs using PySpark
this repo shows how to load data from Kaggle to colab directly
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
Data Analysis and Data Visualization with matplotlib
Timeseries data of COVID-19 reported cases in India and supporting Python Jupyter notebooks.
A clustering analysis on the Spotify Million Dataset with KMeans algorithm
Using supervised learning on Lending Club loan data to predict default and / or bad loans
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
This notebook tries to preprocess the .wav files and by generating their spectrogram, we can turn the problem into a image classification problem.
End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).
Leveraging AutoGluon, this project predicts bike sharing demand by integrating advanced automated machine learning techniques with extensive data exploration and hyperparameter optimization.
Using Google Colab, Google Drive and Kaggle notebook API on Eploratory Analisys and Linear Regression
🤖 A client for the Kaggle API, written in C#/.NET
Cummulative DS3 Datathon Leaderboard
Kaggle API to fetch user's profile data and activity
Build a machine learning model to predict sales.