ali-unlu Goto Github PK
Name: Ali Unlu
Type: User
Bio: Senior Researcher at the Finnish Institute for Health and Welfare (THL).
Twitter: aunlu
Location: Helsinki
Blog: https://aliunlu.com/en/
Name: Ali Unlu
Type: User
Bio: Senior Researcher at the Finnish Institute for Health and Welfare (THL).
Twitter: aunlu
Location: Helsinki
Blog: https://aliunlu.com/en/
This exercise makes use of data from a personal activity monitoring device. This device collects data at 5-minute intervals throughout the day.
Create a sentiment model to identify the product features and recommendation trends
Amazon Kindle reviews in Amazon Store
A curated list of community detection research papers with implementations.
A list of awesome resources for Computational Social Science
The aim of this post is to predict the churn of bank customers.
π A ranked list of awesome machine learning Python libraries. Updated weekly.
Tβhe goal of this project is to predict the consumer complaint category.
In this analysis, I will demonstrate how PCA works in different tasks and how much time and resources we save in our daily analysis.
Sentiment analysis for the Finnish Language
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018.
Collection of useful data science topics along with code and articles
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
In this analysis, I will demonstrate how to explore the cars dataset using Python. I will first load the dataset and then process the data. I will also visualize the dataset and then finally apply ttest to explore the relationship between variables.
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Learning materials
Explainable AI with Python, published by Packt
In this analysis, I will demonstrate how PCA and K-Means clustering can be applied to credit risk data. In this data set, we do not have a target variable, which leads us to build an unsupervised machine learning model.
Learning Social Media Analytics with R, published by Packt
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Modern Time Series Forecasting with Python, published by Packt
The content analysis of the Netflix platform.
Course web page
An introduction to network analysis and applied graph theory using Python and NetworkX
Machine learning for social science
The aim of this demonstration is to illustrate how regression models could be used to predict global game sales. I will use three regression models, including Lasso, Ridge and ElasticNet with cross validation tecnique.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.