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Name: Arnold Olympio
Type: User
Bio: IBM Student | Data Scientist | Backend Web-Developer | ML, NLP & Django enthusiast
Twitter: ArnoldOlympio
Location: Switzerland, Geneva
Name: Arnold Olympio
Type: User
Bio: IBM Student | Data Scientist | Backend Web-Developer | ML, NLP & Django enthusiast
Twitter: ArnoldOlympio
Location: Switzerland, Geneva
Course Files for Complete Python 3 Bootcamp Course on Udemy
This is our Data Science in Healthcare project from the HSLU
E-learning platform with (CMS) Content Management System, API and Chart Server
The company hired us to help them analize the data they have and gain valuable information to improve and increase the sales.
The aim of the analysis is to use the data set of 300,000 cases (W06_training.txt) to train a model that is suitable for detecting fraud attempts. The prediction of the model is finally checked with the help of another data set with 100,000 purchases for which we do not know the target variable. This data set (W06_scoring.txt) is used to evaluate how well the modelโs prediction works, using the total cost or total revenue. This means that we must ensure that there is no overfitting when training the model, otherwise the prediction on the new data set will give poor results. To do this, we should split the data set into training and test data or use a suitable cross-validation method to avoid overfitting.
learning log
Linear Regression project with Ridge and Lasso Regression.
The manager of a grocery store asked for my help regarding the shelf layout of the shop. Until recently they had about 200 SKUs (stock keeping units: unique item numbers), but the headquarter of the grocery chain advised them to keep only 105 of them and introduce 64 new SKUs. The store manager is in charge of where to place those items. The 105 existing items were distributed evenly across the 7 shelves. In general everything can be changed, but the store manager suggests to keep those 105 items at their current position, unless there are very strong reasons for an alternative. Otherwise the customers could be even more confused than they will be anyway due to the change. I have been given sales data from a different shop that made the transition last year. The layout of this shop is somewhat different, but i can get from the data, which items were purchased together and which not. My task is to perform smart analysis with the data using Python code and come up with a good recommendation for the store manager. The Data set contains: 9835 rows Each row is a transaction (customer basket) The items purchased in each row are separated by commas 169 unique items
This is my first blog with Python&Django
password generator
Resources for Python Crash Course, from No Starch Press.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
This is my R Bootcamp Project with Sandro
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.