Topic: "hyperopt"
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language: Python - Size: 758 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 2,179 - Forks: 318
Rikj000/MoniGoMani 📦
Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of signals to alter the weights from.
Language: Python - Size: 259 MB - Last synced at: about 18 hours ago - Pushed at: about 2 years ago - Stars: 1,020 - Forks: 157
solegalli/hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 123 - Forks: 194
flytxtds/AutoGBT
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
Language: Python - Size: 271 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 114 - Forks: 41
jrzaurin/ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 109 - Forks: 51
auto-flow/ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Language: Python - Size: 10.3 MB - Last synced at: 24 days ago - Pushed at: over 3 years ago - Stars: 107 - Forks: 15
guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Language: Python - Size: 119 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 106 - Forks: 76
dnkirill/allstate_capstone
Allstate Kaggle Competition ML Capstone Project
Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 79 - Forks: 57
atanasster/hyperparameters
ES6 hyperparameters search for tfjs
Language: JavaScript - Size: 90.8 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 60 - Forks: 5
JonnoFTW/traffic-prediction
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
Language: Python - Size: 30.3 KB - Last synced at: 25 days ago - Pushed at: almost 7 years ago - Stars: 54 - Forks: 22
ml-tooling/lazycluster 📦
🎛 Distributed machine learning made simple.
Language: Python - Size: 809 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 12
bits-bytes-nn/mofc-demand-forecast
Time Series Forecasting for the M5 Competition
Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 10
ISG-Siegen/Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
Language: Python - Size: 181 KB - Last synced at: 13 days ago - Pushed at: 12 months ago - Stars: 28 - Forks: 2
PhilipMay/mltb 📦
Machine Learning Tool Box
Language: Python - Size: 135 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 9
Apaezmx/simplifai
Free automated deep learning for spreadsheets
Language: JavaScript - Size: 47.6 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 18 - Forks: 2
raphant/lazyft
A convenient FreqTrade wrapper-library that makes it easy to develop algorithmic trading strategies.
Language: Python - Size: 98.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 17 - Forks: 5
abhishekdbihani/Home-Credit-Default-Risk-Recognition
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 10
nphdang/Bandit-BO
Bayesian Optimization for Categorical and Continuous Inputs
Language: Python - Size: 188 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 2
renardeinside/e2e-mlops-demo
E2E MLOps with Databricks
Language: Python - Size: 108 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 14 - Forks: 6
Davisy/Hyperparameter-Optimization-Techniques
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 11
himanshurawlani/hyper_fcn
Hyperparameter tuning for FCN using Ray Tune
Language: Python - Size: 57.6 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 4
genfifth/cvopt
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
Language: Python - Size: 2.47 MB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 6
yassineAlouini/hyperparameters-optimization
The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
Language: Jupyter Notebook - Size: 67.6 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 3
databricks-industry-solutions/rare-event-inspection
Kakapo (KAH-kə-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD library of outlier detection algorithms with MLFlow for tracking and packaging of models and hyperopt for exploring vast, complex and heterogeneous search spaces.
Language: Python - Size: 1.24 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 4
njnmco/hopticulate
Reticulate wrapper for hyperopt
Language: R - Size: 21.5 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 2
asreview/asreview-hyperopt 📦
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
Language: Python - Size: 50.8 KB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 4
PaulEmmanuelSotir/NYC_TaxiTripDuration
NYC taxi trip duration Kaggle submission using fully connected neural network
Language: Python - Size: 378 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 1
MBKraus/Hyperopt
Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'
Language: Jupyter Notebook - Size: 86.9 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 9
ArpanSM/Machine_Learning_Hackathons
Machine learning and Deep Learning Hackathon Solutions
Language: Jupyter Notebook - Size: 8.89 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 7
farazmah/hyperparameter
Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.
Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0
yaroslav-vorobyov/SF_DST
Data Science Professional course
Language: Jupyter Notebook - Size: 74.7 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1
Yyalexx/Predict-a-biological-response
Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
nalron/project_credit_scoring_model
Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 7
gulabpatel/Hyper_Parameter_Optimization
We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
Language: Jupyter Notebook - Size: 417 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
lewis-morris/Skperopt
A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.
Language: Python - Size: 2.61 MB - Last synced at: 27 days ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1
DanGeospatial/GEE_Wetland_Classification
A sample workflow for classifying wetlands in Google Earth Engine. Uses data from multiple sources.
Language: Python - Size: 30.3 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0
Yyalexx/SF-homeworks
Language: Jupyter Notebook - Size: 466 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
DrMatters/hyperoptsearchcv
sklearn wrapper for Hyperopt
Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2
eigenein/rust-hyperopt
Tree-of-Parzen-estimators hyperparameter optimization
Language: Rust - Size: 114 KB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
jparedesDS/lazy-classifier-traffic-accidents-madrid
Analysis and predictions of Traffic Accidents in the City of Madrid
Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0
TimKong21/Medical-Appointment-No-Show-Prediction
A machine learning solution predicting patient no-shows in healthcare appointments. This project integrates EDA, data processing, feature engineering, and XGBoost modeling, with a workflow spanning from Snowflake data retrieval to AWS deployment (S3, SageMaker, Lambda, API Gateway), aiming to enhance appointment management in medical ERP systems.
Language: Jupyter Notebook - Size: 35.4 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
YahyaGrb/mlflow_rasa_hp
MLOPS applied for rasa
Language: Python - Size: 76.1 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
Chandradithya8/Hyperparameter_Tuning_Techniques
Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall behavior of a machine learning model. The ultimate goal is to find an optimal combination of hyperparameters that minimizes a predefined loss function to give better results.
Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
DARK-art108/Hyperparameter-Tuning-using-Hyperopt
Hyperparameter Tuning done on Random Forest Classifier using Hyperopt over Pima Diabetes Dataset!!
Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0
ankit013/Bayesian-Optimization
Hyperparameter Optimization
Language: Jupyter Notebook - Size: 461 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0
salviosage/Predicting-Mortgage-Approvals-data-science-capsone
predict whether a mortgage application was accepted (meaning the loan was originated) or denied according to the given dataset.
Language: Jupyter Notebook - Size: 111 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
wenyangfu/hyperparam-search-guides
Markdown guides and sample code for various hyperparameter search packages.
Language: Python - Size: 4.18 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1
TayJen/Customer-Churn-Prediction
Customer Churn Prediction with data from Kaggle
Language: Jupyter Notebook - Size: 47.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
PradipKumarDas/Competitions
This repository is the home for all competitions.
Language: Jupyter Notebook - Size: 199 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
VforV93/IoTwins_Bayesian_Optimization
The bayesian_optimization service has been developed to allow clients to make hyperparameter fine-tuning. The bayesian_optimization service is a wrapper of the Hyperopt python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions.
Language: Jupyter Notebook - Size: 109 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
saminens/Women-in-Data-Science-2020
WiDS Datathon 2020 on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative.
Language: Jupyter Notebook - Size: 929 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
bourcierj/higgsml
A solution to the Higgs boson machine learning challenge
Language: HTML - Size: 1.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1
fhswf/MLPro-Int-Hyperopt
MLPro: Integration Hyperopt
Language: Python - Size: 2.08 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0
sralter/happy_customers
Predicting whether a customer is happy based on the results from a survey.
Language: Jupyter Notebook - Size: 7.3 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
chibuikeeugene/loan-amount-prediction
A machine learning program that estimates the amount of loan to be issued as seen in the dataset given. This program uses a simple hist gradient boosting regressor algorithm to estimate the likely loan user should be eligible for.
Language: Jupyter Notebook - Size: 13 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 2
lazher/mlflow_rsa_hp
MLOPS applied for rasa
Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1
c-grigsby/ml-fintech-case-studies
A collection of machine learning use cases in fintech
Language: Jupyter Notebook - Size: 214 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
PeeteKeesel/bayes-opt-battle
:game_die: Comparison of Bayesian hyperparameter optimization libraries in python
Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
MuhammadTayyab-SE/employee-churn-prediction
An AI based technique to determine which employee going to leave or stay in the company.
Language: Jupyter Notebook - Size: 164 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
YahyaGrb/mlflow_rasa_track
Simple rasa tracking tool using mlflow
Language: Python - Size: 11.7 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
S-Mann/hyperparameter_optimization
A simple example that showcases the use of hyperopt for finding minimum loss for a machine learning model.
Language: Python - Size: 446 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1
pouyaardehkhani/ParameterOptimization
In this project, we focus on different ways to optimize a machine learning model parameters.
Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
joeanton719/useful_codes
codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).
Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
xianchen2/Online_Transaction_Fraud_Detection
Train CatBoost & XGBoost on 59K data to predict the probability that an online transaction is fraudulent
Language: Jupyter Notebook - Size: 5.01 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
tedchengy/auto-learning
lncremental-learning Hyperparameter Optimization in Python
Language: Python - Size: 70.3 KB - Last synced at: 7 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
thomas-chauvet/python-tools
Language: Python - Size: 184 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
30lm32/docker-parallel-hyperopt
Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb
Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
DanGeospatial/SubarcticWildfireSeverity
Code Supplement: Driver Analysis of Subarctic Wildfire Severity over a 35-year Period
Language: Python - Size: 48.8 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
KianoushAmirpour/End_to_End_Text_Classification
Developing feature engineering pipelines, building packages, automating tests, and creating FastAPI endpoints.
Language: Python - Size: 49.8 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
kamillafsilva/preditor_churn
Predição da probabilidade de churn utilizando classificação com Pyspark
Language: Jupyter Notebook - Size: 147 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Gopalkholade/Phishing-Detection
A classification project on phishing detection
Language: Jupyter Notebook - Size: 214 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AjNavneet/CreditRiskPrediction_LightGBM_Hyperopt_SHAP
Predictive model for loan defaulters using LightGBM, HyperOpt and SHAP model interpretation.
Language: Jupyter Notebook - Size: 6.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
mndrwd/freqtrade_hyperopt_loop
re-run freqtrade hyperopt indefinitely with this bash shell script
Language: Shell - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
artiebears13/Wells_and_fracture_prediction
In this project we predict fracture position by oil production data and predict optimal prod well position for best oil production
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
StartrexII/tuningHyperparameters
study of hyperparameter tuning methods
Language: HTML - Size: 3.62 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Playmen998/Data_Analysis
Представлены основные работы связанные с анализом данных и машинным обучением
Language: Jupyter Notebook - Size: 8.52 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Playmen998/Psychotype_Bot
Телеграмм бот, который предсказывает тип психотипа по методике MBTI
Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Playmen998/Prediction_Weapon_Fallout4
Построение модели предсказания кол-во патронов для убийства существ из игры Fallout 4
Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
mrafifrbbn/steam-reviews
An end-to-end NLP project of mine.
Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
dtararuj/stores-sales-foreacast
food retail shops forecast
Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
kgaleziowski/recommender-systems-neural-network
Recommender Systems 2021/2022: Neural Network Recommenders Project
Language: HTML - Size: 6.17 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
kedarghule/Credit-Card-Fraud-Detection
This project implements a logistic regression model using grid search for hyperparameter tuning to get a AUPRC score of 0.70. This is further improved to a value of 0.82 by an XGBoost Classifier after using Hyperopt for hyperparameter tuning.
Language: Jupyter Notebook - Size: 635 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
samirhinojosa/OC-P7-implement-a-scoring-model
Implement a Scoring Model
Language: Jupyter Notebook - Size: 277 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
kgaleziowski/recommender-systems-content-based
Recommender Systems 2021/2022: Content Based Recommenders Project
Language: HTML - Size: 3.21 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
IDB-FOR-DATASCIENCE/Predicting-fit-of-a-candidate-for-a-job-using-tree-based-models
We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
Language: Jupyter Notebook - Size: 972 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
dany-kuznetsov/topic_model_lda_hyper_params_opt
Topic modelling - optimization of model hyper params. Notebooks are examples of using our optimization pipeline for sample data.
Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1
apethani21/turbine-energy-yield-prediction
Predicting turbine energy yield.
Language: Jupyter Notebook - Size: 9.93 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
Anyesh/bayesian-optimization
Bayesian optimization with hyperopt.
Language: Jupyter Notebook - Size: 529 KB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
zoom2manoj/all_hyperparameter_optimization
Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
silpara/av-janatahack-healthcare-analytics
Analytics Vidhya's Weekend Hackathon on Healthcare Analytics
Language: Jupyter Notebook - Size: 152 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
nickvdw/hyperparameter-optimization-techniques
Testing several hyperparameter optimization techniques.
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
martatomchuck/Car-prices
Machine-Learning prediction of future car prices
Language: Jupyter Notebook - Size: 107 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
beatabb/dw_matrix_car
Prognozowanie cen samochodów
Language: Jupyter Notebook - Size: 159 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
sieginglion/time-series-forecasting
Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
adityajn105/Loan-Prediction
It is a Data Science competition by Analytics Vidhya. Learn to do preprocessing, hypertuning etc.
Language: Jupyter Notebook - Size: 89.8 KB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
neighthan/hyperopt_utils
Utility functions for hyperparameter optimization using hyperopt, especially from Jupyter notebooks.
Language: Python - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
asimihsan/udacity-carnd-t1-p3-behavioral-cloning
Solution and writeup for Term 1 Project 3 of Udacity's Self-Driving Nanodegree on "Behavioral Cloning"
Language: Python - Size: 3.73 MB - Last synced at: 2 days ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0
