Machine-Learning with python (jupyter)

This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

1 Mar 02, 2022

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

Parallelized symbolic regression built on Julia, and interfaced by Python. Uses regularized evolution, simulated annealing, and gradient-free optimization.

924 Jan 03, 2023

A simple guide to MLOps through ZenML and its various integrations.

ZenBytes Join our Slack Community and become part of the ZenML family Give the main ZenML repo a GitHub star to show your love ZenBytes is a series of

127 Dec 27, 2022

Exemplary lightweight and ready-to-deploy machine learning project

6 Dec 20, 2022

This is my implementation on the K-nearest neighbors algorithm from scratch using Python

K Nearest Neighbors (KNN) algorithm In this Machine Learning world, there are various algorithms designed for classification problems such as Logistic

1 Jan 08, 2022

Flightfare-Prediction - It is a Flightfare Prediction Web Application Using Machine learning,Python and flask

Flight_fare-Prediction It is a Flight_fare Prediction Web Application Using Machine learning,Python and flask Using Machine leaning i have created a F

1 Dec 06, 2022

Python implementation of the rulefit algorithm

RuleFit Implementation of a rule based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF) The algorithm can be used f

326 Jan 02, 2023

A machine learning web application for binary classification using streamlit

Machine Learning web App This is a machine learning web application for binary classification using streamlit options this application contains 3 clas

1 Dec 20, 2021

Implementation of deep learning models for time series in PyTorch.

List of Implementations: Currently, the reimplementation of the DeepAR paper(DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

275 Dec 28, 2022

Both social media sentiment and stock market data are crucial for stock price prediction

Relating-Social-Media-to-Stock-Movement-Public - We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy ba

15 Oct 29, 2022

Painless Machine Learning for python based on scikit-learn

PlainML Painless Machine Learning Library for python based on scikit-learn. Install pip install plainml Example from plainml import KnnModel, load_ir

1 Aug 06, 2022

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

1 Jan 11, 2022

Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)

PyTASER PyTASER is a Python (3.9+) library and set of command-line tools for classifying spectral features in bulk materials, post-DFT. The goal of th

4 Dec 27, 2022

Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.

Naive-Bayes Spam Classificator Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm. Main goal is to code a

1 Jun 27, 2022

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

2 Jan 18, 2022

Machine-Learning with python (jupyter)

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Machine-Learning with python (jupyter)

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머신 러닝 1

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Owner

HyeonWoo Jeong

This machine learning model was developed for House Prices

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

A simple guide to MLOps through ZenML and its various integrations.

Exemplary lightweight and ready-to-deploy machine learning project

This is my implementation on the K-nearest neighbors algorithm from scratch using Python

Flightfare-Prediction - It is a Flightfare Prediction Web Application Using Machine learning,Python and flask

Python implementation of the rulefit algorithm

A machine learning web application for binary classification using streamlit

Implementation of deep learning models for time series in PyTorch.

Both social media sentiment and stock market data are crucial for stock price prediction

Painless Machine Learning for python based on scikit-learn

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)

Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Pandas Machine Learning and Quant Finance Library Collection

Simple linear model implementations from scratch.

Machine-Learning with python (jupyter)

Python library for multilinear algebra and tensor factorizations

Pyomo is an object-oriented algebraic modeling language in Python for structured optimization problems.