alptuzel Goto Github PK

ahpy

A Python implementation of the Analytic Hierarchy Process

alptuzel.github.io

my github io

amazonsagemakercourse

SageMaker Course Material

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-mlops

A curated list of references for MLOps

candlesticks

Read-only mirror of "candlesticks" from r-forge SVN.

causaltree

Working repository for Causal Tree and extensions

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cpml_project

Final Project for the Coursera Practical Machine Learning Course

datasciencecoursera

Course 1 Assignment W4

datasharing

The Leek group guide to data sharing

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

djia_forecast_reconciliation

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fullstack

React/ApolloGraphQL/Node/Mongo demo written in Typescript

geoexplorer

dashboard to visualise geographic data

googleway

R Package for accessing and plotting Google Maps

highr

Analysis in R language

isocronut

For a given geospatial location, calculate an isochrone (same time) contour around it.

kaggle-otto-classification

My solution to Otto Group Product Classification Challenge (Top 4%, 107th of 3514).

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

mcdm

Python implementation of multiple-criteria decision-making algorithms

mplfinance

Financial Markets Data Visualization using Matplotlib

named-entity-recognition

Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

openrouteservice-r

:globe_with_meridians: R package to query openrouteservice.org

osmnx

OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

prince

:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r

Projects completed with R