LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Language: Jupyter Notebook - Size: 235 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 1,287 - Forks: 303

databricks/spark-sklearn 📦

(Deprecated) Scikit-learn integration package for Apache Spark

Language: Python - Size: 782 KB - Last synced at: 5 days ago - Pushed at: over 5 years ago - Stars: 1,079 - Forks: 228

williamFalcon/test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Language: JavaScript - Size: 1.45 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 735 - Forks: 74

dezoito/ollama-grid-search

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

Language: TypeScript - Size: 6.02 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 699 - Forks: 39

gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Language: Python - Size: 622 KB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 88 - Forks: 19

jia-zhuang/xgboost-lightgbm-hyperparameter-tuning

Bayesian Optimization and Grid Search for xgboost/lightgbm

Language: Python - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 66 - Forks: 15

JuliaAI/MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Language: Julia - Size: 640 KB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 66 - Forks: 12

WLOGSolutions/telco-customer-churn-in-r-and-h2o

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

Language: R - Size: 483 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 58 - Forks: 60

enricoschumann/NMOF

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

Language: R - Size: 4.04 MB - Last synced at: 19 days ago - Pushed at: 27 days ago - Stars: 37 - Forks: 6

osofr/stremr

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Language: R - Size: 4.97 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 34 - Forks: 8

buomsoo-kim/Machine-learning-toolkits-with-python

Machine learning toolkits with Python

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eHarmony/spotz

Spark Parameter Optimization and Tuning

Language: Scala - Size: 227 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 31 - Forks: 8

farhanchoudhary/Machine_Learning_A-Z_All_Codes_and_Templates

All codes, both created and optimized for best results from the SuperDataScience Course

Language: Python - Size: 5.7 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 31 - Forks: 32

Architectshwet/Loan-prediction-using-Machine-Learning-and-Python

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

Language: Jupyter Notebook - Size: 346 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 29 - Forks: 58

neuro-ml/reskit

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: 1 day ago - Pushed at: almost 8 years ago - Stars: 27 - Forks: 7

cstsunfu/dlk

A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo

Language: Python - Size: 9.42 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 24 - Forks: 0

hyeonsangjeon/Hyperparameters-Optimization

Hyperparameters-Optimization

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 3

sourcecode369/ml-algorithms-on-scikit-and-keras

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 12

KunBetter/GridSearch

real-time grid search engine

Language: Go - Size: 246 KB - Last synced at: over 1 year ago - Pushed at: almost 11 years ago - Stars: 16 - Forks: 0

davidenunes/exp

python experiment management toolset

Language: Python - Size: 304 KB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 1

franneck94/TensorCross

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

Language: Python - Size: 734 KB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 14 - Forks: 2

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

bmcmenamin/thresholdOut-explorations

playing with Dwork's adaptive holdout and how to use it for a grid-search

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 11 - Forks: 3

devssh/svm

Learn to use Support Vector Machines in Python(sklearn) and R

Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 25

yh1008/deepLearning

MNIST, SVHN, Transfered Learning, DNN, CNN

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mainkoon81/Study-09-MachineLearning-A

With some projects to develop "TOOLs" for better Modeling

Language: Jupyter Notebook - Size: 358 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 6

asaficontact/project_floodlight

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.

Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3

SadmanSakib93/ANN-Stratified-K-Fold-Cross-Validation-Keras-Tensorflow

This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.

Language: Jupyter Notebook - Size: 998 KB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

sushant1827/Human-Activity-Recognition-with-Smartphones

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

DavidCico/Univariate-time-series-analysis-of-cryptocurrency-data-with-ARIMA-and-SARIMA-and-hypergrid-search

Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.

Language: Jupyter Notebook - Size: 298 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 2

QUEST-UWMadison/OSCAR

OSCAR: configure and debug variational quantum algorithms efficiently

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 1

dumebi/Predicting-Boston-Housing-Prices

Udacity Machine Learning Course Predicting Boston Housing Prices

Language: Python - Size: 3.51 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 14

sandipanpaul21/Tree-Based-Models-in-Python

Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 9

yukai-yang/zoomgrid

an R package implementing the grid search optimization algorithm with a zoom

Language: R - Size: 173 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 0

resulcay/staggered_grid_view_example

This is a well documented staggered grid view package example app.

Language: Dart - Size: 11.7 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

bhavinidata/AccidentsSeverityPredictionML

Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.

Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 3

KhaledTofailieh/Reactions-Regression

Language: Jupyter Notebook - Size: 131 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

selgho23/Machine-Learning-Exoplanet-Exploration

Evaluating candidate exoplanets using machine learning algorithms.

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

Paritoshyadav/Minimizing-Churn-Rate-Through-Analysis-of-Financial-Habits

Build a Machine learning model to direct customers to subscribe product through a app behavior analysis

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

sushant1827/ARIMA-for-Industrial-Production

Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

Language: Jupyter Notebook - Size: 383 KB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

triepels/CrossValidation.jl

Cross-validation in Julia

Language: Julia - Size: 201 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

jddeguia/grid-search-pca-cnn

Implementation of solar irradiance prediction model with grid-search optimization

Language: Jupyter Notebook - Size: 157 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

abg3/Disaster-Response-ML-Project

This project involves ETL and a Machine Learning Pipeline implementation that classifies tweets to assist people with a disaster emergency response using a Flask Web App.

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

nas5w/grid-search

A small, simple node module that can be used to generate an array of parameters to use during a machine learning grid search

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PathPlanning/LPLian

Lifelong Planning version of LIAN algorithm

Language: Jupyter Notebook - Size: 583 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

marina-neseem/Accera-High-Perf-DL

Case Studies for using Accera - the open source cross-platform compiler from Microsoft Research - to create high performance deep learning computations (i.e. GEMM, Convolution, etc.)

Language: Python - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

rkkwan/subreddit-spam-classifier

Classification modeling on two similar subreddits with spam detection as a use case.

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

triantafd/Fuzzy_Systems_Classification_Regression

Fuzzy Systems Assignments (Classification and Regression) - TSK

Language: MATLAB - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

marcosdelcueto/Tutorial_Grid_Search

Codes and images used in post at Towards Data Science: https://towardsdatascience.com/grid-search-in-python-from-scratch-hyperparameter-tuning-3cca8443727b

Language: Python - Size: 1.73 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

Lokeshrathi/HyperParamter_optimisation

RandomSearch CV vs Grid Search

Language: Jupyter Notebook - Size: 287 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

Aishwaryakkumar/Automobile

Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

KonstantinaStoikou/coin-grid

Given a 2d grid with coins, it finds path to collect most possible coins

Language: C - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

amirziai/autokeras

Hyper-parameter + encoding + architecture grid/random search for keras

Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 0

somjit101/Human-Activity-Recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

Language: Jupyter Notebook - Size: 58.2 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

deliprofesor/Ridge-Regression-for-Sales-Prediction-Model-Evaluation-and-Hyperparameter-Tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

Language: Python - Size: 125 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

Scaramir/orgaSeg

Pipeline meant to segment and classify organoids, or any other blob-like structures (star-convex polygons). Microscopy images can be easily annotated in QuPath and automatically processed afterwards to count the class distribution within each image using this pipeline (TIF files will be converted to grayscale)

Language: Python - Size: 168 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

LAHI-RU/Breast_Cancer_Prediction

Breast Cancer Prediction Model using Logistic Regression with Scikit-Learn, featuring data preprocessing and evaluation.

Language: Python - Size: 122 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

dmarks84/Ind_Project_California-Housing-Data--Kaggle

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

varmatilak22/Spam_SMS_Classification

This project aims to develop a machine learning model to classify SMS messages as spam or not spam. The project encompasses the entire pipeline from data collection and preprocessing to model training, evaluation, and deployment using Streamlit for an interactive user interface.

Language: Python - Size: 679 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

sorodocosmin/feedbackHHC

This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.

Language: Python - Size: 5.52 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

MohammadYasinKarbasian/Data-Mining-Homeworks

This repository contains my solutions and implementations for assignments assigned during the Data Mining course.

Language: Jupyter Notebook - Size: 5.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Jigisha-p/Twitter-Hate-Speech

A model to identify hate speech (racist or sexist tweets) on Twitter

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Luizfelz/Projeto_Final_Mod.05_PoloTech

📑 Projeto de conclusão do quinto módulo do programa PoloTech

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

lynda-trad/Housing-Prices-Prediction

Regression Machine Learning models predict housing prices.

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

lapis42/glm

Poisson GLM for neural data analysis

Language: MATLAB - Size: 3.77 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

somjit101/MNIST-Classification-Keras

A simple study on the use of Keras framework (with Tensorflow background) for a simple handwritten number image classification task with Deep Neural Networks.

Language: Jupyter Notebook - Size: 567 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

glubbdubdrib/lazygrid

Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.

Language: Python - Size: 781 KB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Shivanshu-Gupta/attr-hyperparams

Easy parameter specification using dataclasses made using attr library.

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

M0315G/Machine-Learning-Basics

This repository is the collection of all the basic algorithms used in Machine Learning. Some are implemented from scratch while some using existing libraries.

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Develop-Packt/Hotspot-Analysis

We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 4

likarajo/currencynote_authenticity

Classification to predict whether a bank currency note is authentic or not based on variance of the image wavelet transformed image, skewness, entropy, and curtosis of the image using Machine Learning classifiers.

Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

anshul1004/MachineLearningClassificationModels

Implementation of various machine learning models in scikit-learn

Language: Jupyter Notebook - Size: 225 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

imehrdadmahdavi/grid-search

Using Grid Search to improve Machine Learning models

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

r1shbh/boston_housing

This is a project which uses simple metrics and model evaluation via Grid Search to build a Decision Tree Regressor to predict the price of a house in Boston.

Language: HTML - Size: 441 KB - Last synced at: 8 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

LeondraJames/LoanPaymentPrediction_SVM

My first attempt with building a SVM model, and optimizing the cost and gamma parameters using the Gaussian Kernel grid search method.

Language: R - Size: 254 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

KieranLitschel/KerasSearchCV

Built for the implementation of Keras in Tensorflow. Behaves similarly to GridSearchCV and RandomizedSearchCV in Sci-Kit learn, but allows for progress to be saved between folds and for fitting and scoring folds in parallel.

Language: Python - Size: 144 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

Husseinhj/TuningSupportVectorRegression-Python

Tuning Support Vector Regression parameters with some of algorithm such as PSO, Grid search, GA , ...

Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

Ohara124c41/MLND-Predicting_Boston_Housing_Pricing

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Language: HTML - Size: 820 KB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 2

PurpleDragonFlower/NYC-College-Taxi

Machine Learning Project using NYC Yellow Taxi Cab Dataset

Language: R - Size: 89.6 MB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

gchochla/gridparse

An ArgumentParser that supports your grid-search needs.

Language: Python - Size: 63.5 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 1

Juninxz13/grpo-optuna

Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna

Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Szymon-Czuszek/Machine-Learning-Algorithms

In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

srhn45/iterative-hyperparameter-search

Basic iterative hyperparameter search algorithm for custom models and training loops.

Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AGH-studies-projects/P2P-network-design-patterns

Language: Python - Size: 446 KB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Wb-az/MLib-PySpark-SoundLevel-Prediction

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

Language: Jupyter Notebook - Size: 972 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

adityarohatgi11/Numerical_Optimization

Implementations of Grid Search and Newton-Raphson methods for numerical optimization. It includes Python scripts to compare their performance in maximizing mathematical functions

Language: Python - Size: 10.7 KB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

umnil/preprocessing-pipeline

Time-series preprocessing pipeline

Language: Python - Size: 1.11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

Zen204/-my-ecornell-portfolio

Includes all of my Jupyter Notebook assignments from my time at MIT's Break Through AI/ML Program.

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

deliprofesor/Game-Search-Volume-Prediction-Machine-Learning-Models-and-Forecasting

This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

Language: Python - Size: 1.09 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Winterwind/Classification_Regression_and_Cross-Validation

A three-part project that does as the title suggests with different machine learning models

Language: Jupyter Notebook - Size: 4.68 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sunsided/box-search-strategy

A simulation of a seemingly paradoxical outcome of different search orders on a grid.

Language: Rust - Size: 13.7 KB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ShakeefAhmedRakin/LungCancerPrediction

Lung Cancer Prediction achieved using sklearn for the CSE422 course at BRAC University,

Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

TRAORE-07/Hyperparameter-Tuning-Methods

Random Search, Grid Search and Bayesian Search

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ac615223s5/maze-simulator

simulates search algorithms on grids

Language: JavaScript - Size: 1.11 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

shibasishb2/Feature-Engineering-Model-Tuning

The project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Ash0508/Amazon_ML_Summer_School_Loan-Prediction

I have experience in Supervised, Reinforcement, and Unsupervised Learning, with a focus on a loan prediction project using a Kaggle dataset. I trained and tested the model, achieving high accuracy through Python programming with Pandas, NumPy, and Matplotlib for data analysis and visualization. My primary development environment is Jupyter Notebook

Language: Jupyter Notebook - Size: 164 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Harshal2675/Abnormal-Driving-Behavior

A Machine Learning project on Identifying Abnormal driving behavior using Spatio-Temporal analysis

Language: Python - Size: 10.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Grogenski/DLgrid_search_timeseriesforecasting

Projeto para previsão de séries temporais utilizando modelos de machine learning. O projeto implementa um grid search para otimização de hiperparâmetros e possibilita a utilização de três arquiteturas de rede neural: MLP, LSTM e BiLSTM. Os dados utilizados são referentes aos preços de commodities agrícolas, obtidos de fontes públicas.

Language: Python - Size: 26.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

RiccardoLionetto/aerial-robotics Fork of lis-epfl/micro-502

Drone control algorithm: A* obstacle avoidance, grid search and image recognition (OpenCV)

Language: Python - Size: 164 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

tpf-concurrent-benchmarks/grid_search_elixir

Language: Elixir - Size: 839 KB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0