A collection of Machine Learning Models To Web Api which are built on open source technologies/frameworks like Django, Flask.

Last update: May 24, 2022

Overview

Author Ibrahim Koné

From-Machine-Learning-Models-To-WebAPI

A collection of Machine Learning Models To Web Api which are built on open source technologies/frameworks like Django, Flask.

Customer Churn Api

Movie recommadation

Codebase structure

The project is coded using a simple and intuitive structure presented below:

< PROJECT ROOT >
   |
   |-- CustomerchurnAPI/                              
   |--Movierecommadation/
   |
   |-- ************************************************************************

Owner

Ibrahim Koné

GitHub Repository

The Simpsons and Machine Learning: What makes an Episode Great?

The Simpsons and Machine Learning: What makes an Episode Great? Check out my Medium article on this! PROBLEM: The Simpsons has had a decline in qualit

1 Nov 02, 2021

Real-time domain adaptation for semantic segmentation

Advanced-Machine-Learning This repository contains the code for the project Real

1 Jan 30, 2022

Greykite: A flexible, intuitive and fast forecasting library

The Greykite library provides flexible, intuitive and fast forecasts through its flagship algorithm, Silverkite.

1.7k Jan 04, 2023

Regularization and Feature Selection in Least Squares Temporal Difference Learning

Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio

0 Jan 18, 2022

Course files for "Ocean/Atmosphere Time Series Analysis"

time-series This package contains all necessary files for the course Ocean/Atmosphere Time Series Analysis, an introduction to data and time series an

107 Nov 29, 2022

A python library for easy manipulation and forecasting of time series.

Time Series Made Easy in Python darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from

5.2k Jan 04, 2023

Simulation of early COVID-19 using SIR model and variants (SEIR ...).

COVID-19-simulation Simulation of early COVID-19 using SIR model and variants (SEIR ...). Made by the Laboratory of Sustainable Life Assessment (GYRO)

1 Nov 17, 2021

Kaggle Competition using 15 numerical predictors to predict a continuous outcome.

Kaggle-Comp.-Data-Mining Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project for a stats data

1 Dec 28, 2021

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Time series analysis today is an important cornerstone of quantitative science in many disciplines, including natural and life sciences as well as eco

129 Dec 24, 2022

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

4.2k Dec 29, 2022

Python bindings for MPI

MPI for Python Overview Welcome to MPI for Python. This package provides Python bindings for the Message Passing Interface (MPI) standard. It is imple

604 Dec 29, 2022

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc)

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed

1 Feb 06, 2022

Project to deploy a machine learning model based on Titanic dataset from Kaggle

kaggle_titanic_deploy Project to deploy a machine learning model based on Titanic dataset from Kaggle In this project we used the Titanic dataset from

8 May 23, 2022

Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors

By Investors, For Investors. Want to read this in Chinese? Click here Empyrial is a Python-based open-source quantitative investment library dedicated

640 Dec 31, 2022

A collection of Machine Learning Models To Web Api which are built on open source technologies/frameworks like Django, Flask.

Related tags

Overview

Author Ibrahim Koné

From-Machine-Learning-Models-To-WebAPI

Customer Churn Api

Movie recommadation

Codebase structure

Owner

Ibrahim Koné

The Simpsons and Machine Learning: What makes an Episode Great?

Real-time domain adaptation for semantic segmentation

Greykite: A flexible, intuitive and fast forecasting library

Regularization and Feature Selection in Least Squares Temporal Difference Learning

Course files for "Ocean/Atmosphere Time Series Analysis"

A python library for easy manipulation and forecasting of time series.

Simulation of early COVID-19 using SIR model and variants (SEIR ...).

Kaggle Competition using 15 numerical predictors to predict a continuous outcome.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Python bindings for MPI

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc)

Project to deploy a machine learning model based on Titanic dataset from Kaggle

Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors

Apache (Py)Spark type annotations (stub files).

Dive into Machine Learning

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

An implementation of Relaxed Linear Adversarial Concept Erasure (RLACE)

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

A Python package for time series classification

A collection of Machine Learning Models To Web Api which are built on open source technologies/frameworks like Django, Flask.

Related tags

Overview

Author Ibrahim Koné

From-Machine-Learning-Models-To-WebAPI

Customer Churn Api

Movie recommadation

Codebase structure

Owner

Ibrahim Koné

The Simpsons and Machine Learning: What makes an Episode Great?

Real-time domain adaptation for semantic segmentation

﻿Greykite: A flexible, intuitive and fast forecasting library

Regularization and Feature Selection in Least Squares Temporal Difference Learning

Course files for "Ocean/Atmosphere Time Series Analysis"

A python library for easy manipulation and forecasting of time series.

Simulation of early COVID-19 using SIR model and variants (SEIR ...).

Kaggle Competition using 15 numerical predictors to predict a continuous outcome.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Python bindings for MPI

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc)

Project to deploy a machine learning model based on Titanic dataset from Kaggle

Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors

Apache (Py)Spark type annotations (stub files).

Dive into Machine Learning

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

An implementation of Relaxed Linear Adversarial Concept Erasure (RLACE)

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

A Python package for time series classification

Greykite: A flexible, intuitive and fast forecasting library