Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.
AutoML Library Based on Dask with Bee Colony Optimization
A Dask native implementation of 'Term Frequency Inverse Document Frequency' for dask-ml and scikit-learn
Scaling ML models with Taipy and Dask
A Parallel segmentation algorithm of a flowers dataset using Dask.
Preprocessing and predicting big data
Word2vec for large corpus for Bangle
BETA: Real-time inference from scalable machine learning in Python
one-stop destination for all machine learning and artificial intelligence library and algorithms
Sentiment analysis on hotel reviews, using MongoDB, applying Dask parallel programming, comparing Recurrent and Convolutional neural networks and visualizating with Dash.
In this repo, I build a LogisticRegression prediction model with Dask and PySpark and initialize an AWS EMR cluster to run the entire pipeline.
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