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

A Python implementation of GRAIL, a generic framework to learn compact time series representations.

GRAIL A Python implementation of GRAIL, a generic framework to learn compact time series representations. Requirements Python 3.6+ numpy scipy tslearn

3 Nov 24, 2021

This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain

1 Nov 03, 2021

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM

297 Jan 09, 2023

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy m

55 Dec 27, 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

A Python implementation of GRAIL, a generic framework to learn compact time series representations.

This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

NumPy-based implementation of a multilayer perceptron (MLP)

A machine learning toolkit dedicated to time-series data

Fourier-Bayesian estimation of stochastic volatility models

A Python package to preprocess time series

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training

A model to predict steering torque fully end-to-end

This is the material used in my free Persian course: Machine Learning with Python

A classification model capable of accurately predicting the price of secondhand cars

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Simple linear model implementations from scratch.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Greykite: A flexible, intuitive and fast forecasting library

Simple, light-weight config handling through python data classes with to/from JSON serialization/deserialization.

onelearn: Online learning in Python

Python Automated Machine Learning library for tabular data.

This is a Machine Learning model which predicts the presence of Diabetes in Patients

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

A Python implementation of GRAIL, a generic framework to learn compact time series representations.

This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

NumPy-based implementation of a multilayer perceptron (MLP)

A machine learning toolkit dedicated to time-series data

Fourier-Bayesian estimation of stochastic volatility models

A Python package to preprocess time series

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training

A model to predict steering torque fully end-to-end

This is the material used in my free Persian course: Machine Learning with Python

A classification model capable of accurately predicting the price of secondhand cars

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Simple linear model implementations from scratch.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

﻿Greykite: A flexible, intuitive and fast forecasting library

Simple, light-weight config handling through python data classes with to/from JSON serialization/deserialization.

onelearn: Online learning in Python

Python Automated Machine Learning library for tabular data.

This is a Machine Learning model which predicts the presence of Diabetes in Patients

Greykite: A flexible, intuitive and fast forecasting library