naoki-vn634/optuna_utils

Pytorch Optuna Implementation for simple Image Recognition Task

Language: Python - Size: 13.7 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

rakesh-yadav/PyTorch-RNN-Tutorial

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

Language: Jupyter Notebook - Size: 2 MB - Last synced: 8 months ago - Pushed: over 1 year ago - Stars: 19 - Forks: 2

Denis-Mukhanov/search-by-images

Yandex Practicum Data Science project

Language: Jupyter Notebook - Size: 16.2 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Denis-Mukhanov/music-genre-prediction

Practicum Workshop

Language: Jupyter Notebook - Size: 3.53 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - 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: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

abhijha3011/Hyper-Parameter-Optimization-Techniques

Hyper Parameter Techniques

Language: Jupyter Notebook - Size: 24.4 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

SloughJE/aerial_straps_classifier

ML-driven classification of aerial straps poses using computer vision. Blends aerial artistry with ML from media processing to deployment. Features MediaPipe, Optuna, MLflow, and fastAPI

Language: Jupyter Notebook - Size: 19.8 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

AsakoKabe/AdeleCV

Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.

Language: Python - Size: 401 KB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 14 - Forks: 1

twsl/china-pm2.5

Time series regression with LSTMs predicting PM2.5 concentration in China

Language: Jupyter Notebook - Size: 3.89 MB - Last synced: 22 days ago - Pushed: about 3 years ago - Stars: 3 - Forks: 2

arawxx/ML-Competition-codecup-7

Quera Codecup Series 7 Machine Learning (Data Science) competition answers, submitted by myself.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

cwaltrick/aprendizado-nao-supervisionado

Problemas de negócios solucionados com técnicas de aprendizado não supervisionado.

Language: Jupyter Notebook - Size: 272 KB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

Denis-Mukhanov/Chicago_taxi_trips_BigData

Language: Jupyter Notebook - Size: 1 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

Denis-Mukhanov/toxic-comments

Yandex Practicum Data Science project

Language: Jupyter Notebook - Size: 50.6 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

ghanmi-hamza/Hyperparameter_Tuning_Using_Optuna

Xgboost Hyperparameter Tunning Using Optuna

Language: Jupyter Notebook - Size: 34.2 KB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

joanitolopo/eval-sampling-methods

🔍 Evaluating Sampling Techniques for Healthcare Insurance Fraud Detection in Imbalanced Dataset.

Language: Python - Size: 188 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

anthonydwan/Kaggle-Tabular_Playground_Series_Jan_2021

predicting a continuous target (regression) based on number of anonymous features columns given in the data.

Language: Jupyter Notebook - Size: 719 MB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

ludovicmarecaux/London_Pumpy

Data Project

Language: Jupyter Notebook - Size: 22.6 MB - Last synced: 9 months ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 1

tohtsky/irspack

Train, evaluate, and optimize implicit feedback-based recommender systems.

Language: Python - Size: 733 KB - Last synced: 22 days ago - Pushed: about 1 year ago - Stars: 28 - Forks: 9

Amshra267/Cassandra-Udyam

Contains our Approach for the competition organized at Udyam'21

Language: Jupyter Notebook - Size: 3.83 MB - Last synced: 9 months ago - Pushed: about 3 years ago - Stars: 12 - Forks: 2

huyndao/sg1-topic-modeling

A fun Topic Modeling Project of the TV show Stargate SG1

Language: Jupyter Notebook - Size: 95.8 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

interstellarninja/gbdt-classification

Binary classification using gbdt model with catboost and hyperparameter tuning with optuna and dask on Saturn Cloud

Language: Jupyter Notebook - Size: 63.5 KB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

avinashpancham/hpo

Hyperparameter optimization for ML models

Language: Python - Size: 382 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 1

Anil-45/Question_Pair_Similarity

Question pair similarity

Language: CSS - Size: 5.2 MB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

jason96819/Book_Rating_Regressor

데이콘 도서 추천 알고리즘 AI경진대회

Language: Jupyter Notebook - Size: 3.03 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

dmitryamel/portfolio

A vault with some of projects done by me

Language: Jupyter Notebook - Size: 4.13 MB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

wongkhoon/ICR---Identifying-Age-Related-Conditions

My absolutely first Kaggle competition

Language: Jupyter Notebook - Size: 12.5 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

Language: Jupyter Notebook - Size: 10 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0

lcudenne/learntoshare

Peer-to-peer distributed shared memory testbed

Language: Python - Size: 75.2 KB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

JMViJi/Binary-Classification-of-Machine-Failures

Binary Classification of Machine Failures

Language: Jupyter Notebook - Size: 27.2 MB - Last synced: 10 months ago - Pushed: 12 months ago - Stars: 1 - Forks: 0

Denis-Mukhanov/determining-temperature-stars

Yandex Practicum Data Science project

Language: Jupyter Notebook - Size: 1.54 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

bruce-willis/citymobil-hack

Hackaton solution of team «team»

Language: Jupyter Notebook - Size: 13.1 MB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 1

mark-narusov/yandex_practicum_ds

Учебные проекты курса "Специалист по Data Science", Яндекс Практикум

Language: Jupyter Notebook - Size: 5.45 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

Cyber-Machine/firepred

An intelligent forest fire prediction system that leverages machine learning alogrithms, integrating MLOps principles for efficient and robust model development, deployment, and maintenance.

Language: Jupyter Notebook - Size: 3.28 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

StartrexII/tuningHyperparameters

study of hyperparameter tuning methods

Language: HTML - Size: 3.62 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

salil-gtm/emlov3_assignment_7

EMLOv3 | Assignment 7 code base

Language: Jupyter Notebook - Size: 425 KB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

GeorgeVasilakopoulos/IMDb-Sentiment-Analysis

Sentiment classification of IMDb movie reviews / Deep Learning for Natural Language Processing

Language: Jupyter Notebook - Size: 24 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

RianBrug/gcn_for_covid_sc_brazil

This project optimizes a Graph Convolutional Network (GCN) model with Optuna to predict COVID-19 cases in various regions, incorporating additional features alongside historical data for improved accuracy.

Language: Python - Size: 419 KB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

Minyus/optkeras 📦

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

Language: Python - Size: 37.2 MB - Last synced: 3 days ago - Pushed: about 4 years ago - Stars: 29 - Forks: 3

ChangZero/MV_optuna

Multi_View_learnnig_optuna

Language: Python - Size: 3.91 KB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

hariprasath-v/DOCEREE_machine-learning-hackathon_round_1

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

Language: HTML - Size: 4.59 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

arukemre/Gediz-Elektrik-POWER-OUTAGE

Solution to Kaggle's GDZ’22 DATATHON Competition

Language: Jupyter Notebook - Size: 25.3 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

KyriakosPsa/scGmix-ML-pipeline

single-cell RNA seq Gaussian Mixture Model analysis pipeline

Language: Jupyter Notebook - Size: 25.1 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

zunicd/Omdena-Liverpool-Predicting-ALL

To detect cancer blood cells (ALL), traditional ML models were trained on image features extracted by applying transfer learning with pre-trained CNN models.

Language: Jupyter Notebook - Size: 31.6 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

KyriakosPsa/HepatitisC-ML-prediction-pipeline

Pipeline for classification algorithm evaluation with nested cross validation and Bayesian hyperparameter tuning with optuna.

Language: Jupyter Notebook - Size: 31.1 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

falken1983/PDS01_datathon

Data Science Training/Preparation Competition for Final Hackamecum Grade

Language: Jupyter Notebook - Size: 4.33 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

AhmetZamanis/UsedCarKicksClassification

Imbalanced classification with scikit-learn and PyTorch Lightning.

Language: Python - Size: 11.8 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

anantgupta129/InfiniteOps

AWS Sagemaker | Ci/Cd | Hyperparameter Tuning with Optuna | DVC | MLOps pipeline with Kaggle Intel Image Classification Dataset

Language: Python - Size: 2.78 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 1

Devanshu0502/EUI-Prediction

Language: Jupyter Notebook - Size: 4.84 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

urmipandya123/Road_Severity_Classification

Language: Jupyter Notebook - Size: 1.85 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

thejora/Car-price-prediction

Creating a model in Python LightGBM for predicting car prices and a simple Django web interface to use it using data parsed from a popular ad site using the BeautifulSoup library

Language: Jupyter Notebook - Size: 1.92 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

Wilsonkongcheng/Disease-risk-pred-automl

Disease risk prediction autoML based on Lightgbm,Optuna ,Shap value and MLflow

Language: Python - Size: 2.5 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

Rayn2402/ThePetaleProject

This repository stores the code implemented to generate the results of our paper: Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors

Language: Python - Size: 3.8 MB - Last synced: about 1 month ago - Pushed: 4 months ago - Stars: 4 - Forks: 2

twsl/HeavyDrinkingDetection

Heavy Drinking Detection using Smartphone Data

Language: Jupyter Notebook - Size: 13.5 MB - Last synced: 22 days ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

dfavenfre/Bike-Sharing-Demand-Prediction

Bike Rent Demand Prediction Model

Language: Jupyter Notebook - Size: 3.29 MB - Last synced: 11 months ago - Pushed: 12 months ago - Stars: 1 - Forks: 0

ValantisAndreas/Neural-Networks

Lab Exercises for the Neural Networks & Intelligent Systems course @ ECE NTUA

Language: Jupyter Notebook - Size: 9.38 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

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: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

lidamsoukaina/Unsupervised_Time_Series_Imputation

Comparison between deep learning models and statistical methods on unsupervised time series imputation task.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

Yyalexx/Predict-a-biological-response

Language: Jupyter Notebook - Size: 64.5 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 0

Yyalexx/SF-homeworks

Language: Jupyter Notebook - Size: 466 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0

Yyalexx/SF-studing-projects

Учебные проекты, выполненные во время обучения на курсе Data Scientist

Language: Jupyter Notebook - Size: 4.92 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 0

mohan-gupta/estimating-delivery-time

Estimating the time taken by delivery person to deliver the order.

Language: Jupyter Notebook - Size: 7.82 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

CengizhanYurdakul/Training-with-NeptuneAI-Optuna

Hyperparameter optimization with Optuna and experiment tracking with NeptuneAI.

Language: Python - Size: 1.16 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

akthammomani/Credit_Risk_Classification

Classification Modeling: Probability of Default

Language: Jupyter Notebook - Size: 10.3 MB - Last synced: 11 months ago - Pushed: over 2 years ago - Stars: 3 - Forks: 1

Alex1iv/revenue_maximization_strategy

Revenue maximization strategy

Language: Jupyter Notebook - Size: 3.82 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

StefanieStoppel/pytorch-mlflow-optuna

Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.

Language: Jupyter Notebook - Size: 159 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 20 - Forks: 1

vladimir-abramov/data_science_projects

Yandex Praktikum Data Science Projects

Language: Jupyter Notebook - Size: 7.77 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

mayb333/cars_price_prediction

This represents the car's price predictor based on LightGBM + Optuna. The final goal is to use it to predict my father's car price.

Language: Jupyter Notebook - Size: 1.76 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

axent-pl/ax-ml-ops

axent.pl MLOps application stack for running your ML experiments locally

Language: Python - Size: 2.18 MB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

se4en/ai_masters_ml2_comp1

Решение соревнования в рамках курса ML2 AI Masters

Language: Jupyter Notebook - Size: 2.6 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

yacine-ammi/Mobile-CCP

This repository is created to share the steps that were taken in making my Graduation Thesis for my Applied Statistics Diploma, the project is about creating a machine learning model to predict the churn in a telecom company, this repository includes: The dataset used in the project, the relevant code, and the theisis in pdf.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

sidharth178/House-Prices-Advanced-Regression-Techniques

The objective of the project is to perform advance regression techniques to predict the house price in Boston.

Language: Jupyter Notebook - Size: 6.78 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 9 - Forks: 2

Marc-Velay/hydra_optuna_tutorial

Language: Python - Size: 8.79 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

SudipBishwakarma/MSc-Dissertation-2021

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced: over 1 year ago - Pushed: about 2 years ago - Stars: 5 - 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: about 1 year ago - Pushed: over 3 years ago - Stars: 3 - Forks: 1

UtkarshKharche29/Youtube-Adview-Prediction

I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0

Language: HTML - Size: 978 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 4 - Forks: 0

HoDominic/optuna_user_manual

This is a Optuna user manual with demo to learn how to use optuna in machine learning and deep learning.

Language: Jupyter Notebook - Size: 551 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

eduidl/optuna-with-pytorch 📦

Optuna + PyTorchのサンプル

Language: Python - Size: 68.4 KB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 8 - Forks: 1

Megalotron/ARCHIVE-Slohan-DDoS-LSTM 📦

LSTM based model classifying network packets to predict DDoS

Language: Python - Size: 59.6 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

SimeonHristov99/ati

Ati is a web-based application for predicting which famous classic Bulgarian novelist wrote a piece of text (short or long).

Language: Jupyter Notebook - Size: 6.8 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

RoSaav/optuna_ml

Hyperparameter optimization using the Optuna framework - XGBoost, lightGBM and CatBoost

Language: Python - Size: 2.31 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

fsmosca/Optuna-Game-Parameter-Tuner

A game search and evaluation parameter tuner using optuna framework

Language: Python - Size: 36 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 14 - Forks: 3

MichaelFish199/GeneticAlgorithm-HyperparameterSearch

In this project, I use optuna library to perform a hyperparameter search for Professor Wojciech Broniowski's implementation of Genetic Algorythm algorithm, as well as comparing this algorythm to AntColonyOptimization. I use the optuna library to optimize the hyperparameters and improve the performance of the algorithm.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MichaelFish199/AntColonyOptimization-HyperparameterSearch

In this project, I use optuna library to perform a hyperparameter search for Professor Wojciech Broniowski's implementation of Ant Colony Optimization (ACO) algorithm. I use the optuna library to optimize the hyperparameters and improve the performance of the algorithm.

Language: Jupyter Notebook - Size: 2.01 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

sidharth178/Youtube-Adview-Prediction

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

Language: HTML - Size: 1.72 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 10 - Forks: 5

atfortes/Pawpularity

Kaggle Competition Bronze Medal 🥉 (205th out of 3537 teams)

Language: Jupyter Notebook - Size: 2.43 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

erkara/Spelman_College_Machine_Learning_Group

This repo contains the notebooks regarding our deep learning based image recognition projects with my students in Spelman College

Language: Jupyter Notebook - Size: 801 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 1

nhtlongcs/cassava-leaf-disease-classification

Identify the type of disease present on a Cassava Leaf image

Language: Python - Size: 2.2 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 9 - Forks: 3

hariprasath-v/deloitte_presents_machine_learning_challenge_predict_loan_defaulters

A machine learning model that predicts the loan defaulter.

Language: Jupyter Notebook - Size: 1.28 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

enescavus/Data-Science-Apps

Data Science Apps, Deployments, Streamlit and More

Language: Python - Size: 1.87 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

Doppler-67/star-temperature-prediction

Предсказание температуры звезд.

Language: Jupyter Notebook - Size: 725 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

hariprasath-v/Machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

Language: HTML - Size: 4.14 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

MohsenAmiri79/Customer-Loyalty-Prediction-in-Python

A machine learning and deep learning project from ground up.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 0

gosuto-inzasheru/msc-thesis-kaggle-jane-street

Master Thesis - Information Studies: Data Science

Language: Jupyter Notebook - Size: 40.9 MB - Last synced: 10 months ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 0

rprkh/Music-Genre-Recommender

Music Genre Recommender website that can identify and recommend 10 different genres of music using Light Gradient Boosting Machine (LGBM). An accuracy of 90% was achieved on the test set by tuning the hyperparameters of the model with Optuna.

Language: Python - Size: 1.04 GB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

stereopickle/Tanzanian_water_pump_classificationn

Machine Learning to predict the condition of water points in Tanzania (multi-class classification)

Language: Jupyter Notebook - Size: 21.1 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

neptune-ai/project-nlp

Experiment tracking and model registry in the NLP project

Language: Jupyter Notebook - Size: 1.11 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

lezzhov/learning_to_rank

Building and evaluating a ranking model using the MSLR-WEB10K dataset

Language: Python - Size: 21.1 MB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 6 - Forks: 2

Nikoletos-K/WinnER

A Winner-Take-All Hashing-Based Unsupervised Model for Entity Resolution Problems. [B. Sc. Thesis]

Language: Jupyter Notebook - Size: 154 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 0

etetteh/production_ml

Language: Python - Size: 35.2 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

louismagowan/cag-equality

Repo for code used during MSc thesis in Applied Social Data Science at LSE. Used to analyse Centre Assessment Grades in 2020, investigating bias in teacher grading judgements.

Language: Python - Size: 2.42 MB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0