Predicting job salaries from ads - a Kaggle competition

Last update: Oct 23, 2020

Overview

Predicting advertised salaries

See http://fastml.com/predicting-advertised-salaries/ for description.

2vw.py - convert a combined train+test file to VW format
2vw_loc.py - the same, but for data transformed with update_locations.py
add_dummy_salaries.py - add dummy salaries columns (2) to a test file; drop headers
first.py - Take some lines from the input file and save them to the output file
split.py - split a file into two randomly, line by line
unlog_predictions.r - convert VW's log predictions back to a normal scale by taking exp()
update_locations.py - replace location columns from the original file with parsed location (five columns) - slightly buggy
update_locations_fixed.py - a fixed version of update_locations.py

Owner

Zygmunt Zając

I should have learned to play the guitar / I should have learned to play them drums

GitHub Repository http://fastml.com/predicting-advertised-salaries/

Basic Docker Compose for Machine Learning Purposes

Docker-compose for Machine Learning How to use: cd docker-ml-jupyterlab

1 Oct 29, 2021

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

Using python and scikit-learn to make stock predictions

1.3k Jan 03, 2023

monolish: MONOlithic Liner equation Solvers for Highly-parallel architecture

monolish is a linear equation solver library that monolithically fuses variable data type, matrix structures, matrix data format, vendor specific data transfer APIs, and vendor specific numerical alg

179 Dec 21, 2022

A data preprocessing and feature engineering script for a machine learning pipeline is prepared.

FEATURE ENGINEERING Business Problem: A data preprocessing and feature engineering script for a machine learning pipeline needs to be prepared. It is

7 Dec 18, 2021

UpliftML: A Python Package for Scalable Uplift Modeling

UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base l

254 Dec 31, 2022

A library of sklearn compatible categorical variable encoders

Categorical Encoding Methods A set of scikit-learn-style transformers for encoding categorical variables into numeric by means of different techniques

2.1k Jan 07, 2023

A unified framework for machine learning with time series

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

6k Jan 06, 2023

Machine learning algorithms implementation

Machine learning algorithms implementation This repository consisits of implementation of various machine learning algorithms. The algorithms implemen

1 Jan 03, 2022

A game theoretic approach to explain the output of any machine learning model.

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allo

18.2k Jan 02, 2023

AP1 Transcription Factor Binding Site Prediction

A machine learning project that predicted binding sites of AP1 transcription factor, using ChIP-Seq data and local DNA shape information.

1 Jan 21, 2022

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

31 Nov 03, 2022

Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

216 Dec 23, 2022

Repository for DCA0305, an undergraduate course about Machine Learning Workflows and Pipelines

Federal University of Rio Grande do Norte Technology Center Department of Computer Engineering and Automation Machine Learning Based Systems Design Re

81 Oct 18, 2022

Stats, linear algebra and einops for xarray

xarray-einstats Stats, linear algebra and einops for xarray ⚠️ Caution: This project is still in a very early development stage Installation To instal

30 Dec 28, 2022

An open-source library of algorithms to analyse time series in GPU and CPU.

216 Dec 30, 2022

Esse é o meu primeiro repo tratando de fim a fim, uma pipeline de dados abertos do governo brasileiro relacionado a compras de contrato e cronogramas anuais com spark, em pyspark e SQL!

Olá! Esse é o meu primeiro repo tratando de fim a fim, uma pipeline de dados abertos do governo brasileiro relacionado a compras de contrato e cronogr

10 Apr 04, 2022

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.

720 Dec 25, 2022