dedem7 Goto Github PK
Name: Dadamir
Type: User
Location: Prague
Name: Dadamir
Type: User
Location: Prague
Quantitative(statistical) data analysis and ML
More than 20k .csv files given. The structure of each file doesn't have a "data frame" structure, however the structure of each file is similar to another. The task is to join all .csv files in one and to keep such form of file that will allow to make further analysis. For this purpose Linux(bash) was used. For further analysis, Python (pandas) was used.
Two(or more) car sellers have similar names, such as "Car Angelo" and "Car Angelo s.r.o". The task is to calculate the percentage of name similarity by using Levenshtein distance, and then to analyze how many cars in stock have two sellers with similar name, also to determine whether these cars are "duplicates".
Transforming and gathering data from google spreadsheets and loading an output to main Excel file
Data from online car store is given. Each car has it's description in form of text. This text was standardized by removing all symbols except strings, then this strings was lowered. The lowered standardized text was divided by each word, using " "(space) as delimiter. As a final output, row numbers of table were extended due to increase of one row to multiple rows by number of words in text. This table can be used as input for visualization (e.g. Power BI) to show the percentage of each word frequency in whole data.
Text translation in Python
Simple game was made by using only lists and dictionaries.
Interactive Blackjack multiplayer game. Made by using Object Oriented programming principles
Card game "War" using OOP paradigm
Certified Professional in Python Programming 1 (My Solutions)
Cars dataset is given. There different models of cars with different transmissions such as automatic, semi automatic and manual. The task is to investigate whether the car feature of semi automatic transmission can be replaced by automatic. (scatter plots and cluster analysis)
Comparison of car prices between Germany and Czech republic markets by conducting dependency analysis and linear model.
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.