Machine-Learning with python (jupyter)

TensorFrames (Deprecated) Note: TensorFrames is deprecated. You can use pandas UDF instead. Experimental TensorFlow binding for Scala and Apache Spark

757 Dec 31, 2022

scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.

Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ

180 Dec 20, 2022

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Prophet: Automatic Forecasting Procedure Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends ar

15.4k Jan 07, 2023

Book Recommender System Using Sci-kit learn N-neighbours

Model-Based-Recommender-Engine I created a book Recommender System using Sci-kit learn's N-neighbours algorithm for my model and the streamlit library

1 Jan 13, 2022

cuML - RAPIDS Machine Learning Library

cuML - GPU Machine Learning Algorithms cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions t

3.1k Dec 28, 2022

Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

Hackerank-Nested-List Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any s

2 Dec 14, 2021

Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.

Self Organising Map for Clustering of Atomistic Samples - V2 Description Self Organising Map (also known as Kohonen Network) implemented in Python for

0 Nov 16, 2021

The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

mlflow_hydra_optuna_the_easy_way The easy way to combine mlflow, hydra and optuna into one machine learning pipeline. Objective TODO Usage 1. build do

9 Sep 09, 2022

Diabetes Prediction with Logistic Regression

Diabetes Prediction with Logistic Regression Exploratory Data Analysis Data Preprocessing Model & Prediction Model Evaluation Model Validation: Holdou

2 Oct 23, 2021

A simple machine learning package to cluster keywords in higher-level groups.

Simple Keyword Clusterer A simple machine learning package to cluster keywords in higher-level groups. Example: "Senior Frontend Engineer" -- "Fronte

10 Dec 18, 2022

Educational python for Neural Networks, written in pure Python/NumPy.

127 Oct 27, 2022

High performance Python GLMs with all the features!

200 Dec 14, 2022

Practical Time-Series Analysis, published by Packt

Practical Time-Series Analysis This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting proj

325 Dec 23, 2022

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

80 Dec 12, 2022

Code Repository for Machine Learning with PyTorch and Scikit-Learn

1.4k Jan 03, 2023

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

6.9k Jan 05, 2023

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo

354 Dec 31, 2022

Machine-Learning with python (jupyter)

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Machine-Learning with python (jupyter)

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HyeonWoo Jeong

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Book Recommender System Using Sci-kit learn N-neighbours

cuML - RAPIDS Machine Learning Library

Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.

The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

Diabetes Prediction with Logistic Regression

A simple machine learning package to cluster keywords in higher-level groups.

Educational python for Neural Networks, written in pure Python/NumPy.

High performance Python GLMs with all the features!

Practical Time-Series Analysis, published by Packt

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A linear regression model for house price prediction

Python ML pipeline that showcases mltrace functionality.

XManager: A framework for managing machine learning experiments 🧑‍🔬

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.