Allstate Kaggle Competition ML Capstone Project
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Updated
Dec 10, 2016 - Jupyter Notebook
Allstate Kaggle Competition ML Capstone Project
The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
Solution and writeup for Term 1 Project 3 of Udacity's Self-Driving Nanodegree on "Behavioral Cloning"
Markdown guides and sample code for various hyperparameter search packages.
Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb
NYC taxi trip duration Kaggle submission using fully connected neural network
Utility functions for hyperparameter optimization using hyperopt, especially from Jupyter notebooks.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
Free automated deep learning for spreadsheets
It is a Data Science competition by Analytics Vidhya. Learn to do preprocessing, hypertuning etc.
Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'
lncremental-learning Hyperparameter Optimization in Python
Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.
predict whether a mortgage application was accepted (meaning the loan was originated) or denied according to the given dataset.
CIFAR-10 image classification of imbalanced data using bottleneck features extracted from the autoencoder.
sklearn wrapper for Hyperopt
A solution to the Higgs boson machine learning challenge
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