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Name: tugce ozcelik
Type: User
Bio: Data Engineering, DWH, Machine Learning Enthusiast, Cloud & Open-source tech. dev.
Location: Istanbul
Name: tugce ozcelik
Type: User
Bio: Data Engineering, DWH, Machine Learning Enthusiast, Cloud & Open-source tech. dev.
Location: Istanbul
As a team of 4, we intend to use machine learning and artificial intelligence (with the context of statistical modelling) for social good, to evaluate credit risk and improve the access and fairness of credit to reach underserved communities.
Zero to Deep Learning
A curated list of awesome R packages, frameworks and software.
Youtube tutorial associated content
Course Files for Complete Python 3 Bootcamp Course on Udemy
Credit Risk analysis by using Python and ML
Project for ENSE 480, the Artificial Intelligence class. This project will be an app that will detect fraud in credit card statements.
Trigger an SAPDS ETL job inside the job
Feature Selection Steps
Selection of some interesting Kaggle Kernels
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
Machine learning online course from Andrew Ng.
Python code for common Machine Learning Algorithms
Credit card fraud detection through logistic regression, k-means, and deep learning.
An interactive graphing library for R
The case requires developing a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behaviour of 9000 active credit card holder during the last 6 months.
Python Data Science Handbook: full text in Jupyter Notebooks
RSMTool is a python package for facilitating research on building and evaluating automated scoring models.
scikit-learn: machine learning in Python
Jupyter notebooks from the scikit-learn video series
Score card model for Credit Scoring System.
Social Economy Data Lab data wrangling
Easy interactive web applications with R
# linear_regression_live This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube ## Overview This is the code for [this](https://youtu.be/uwwWVAgJBcM) video on Youtube by Siraj Raval. I'm using a small dataset of student test scores and the amount of hours they studied. Intuitively, there must be a relationship right? The more you study, the better your test scores should be. We're going to use [linear regression](https://onlinecourses.science.psu.edu/stat501/node/250) to prove this relationship. Here are some helpful links: #### Gradient descent visualization https://raw.githubusercontent.com/mattnedrich/GradientDescentExample/master/gradient_descent_example.gif #### Sum of squared distances formula (to calculate our error) https://spin.atomicobject.com/wp-content/uploads/linear_regression_error1.png #### Partial derivative with respect to b and m (to perform gradient descent) https://spin.atomicobject.com/wp-content/uploads/linear_regression_gradient1.png ## Dependencies * numpy Python 2 and 3 both work for this. Use [pip](https://pip.pypa.io/en/stable/) to install any dependencies. ## Usage Just run ``python3 demo.py`` to see the results: ``` Starting gradient descent at b = 0, m = 0, error = 5565.107834483211 Running... After 1000 iterations b = 0.08893651993741346, m = 1.4777440851894448, error = 112.61481011613473 ``` ## Credits Credits for this code go to [mattnedrich](https://github.com/mattnedrich). I've merely created a wrapper to get people started.
Notebooks for Course
Code Repo with My Solved Exercises From the Udemy Bootcamp
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.