Database Programmers alkalmazható itt: Spain
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Passionate Fullstack Developer from Barcelona. WEB & MOBILE APPS, SCRIPTS, BOTS Some of my projects include: ✅ Remuno Crypto Payment (remuno.com) ✅ Shuffler social App (tinyurl.com/ShufflerApp) ✅ SubsCrypto App (givebtc.tips/SubsCrypto) ✅ Multiple Telegram Bots Tech Stack ➡️ FRONTEND: React, Angular, Vue3,...Passionate Fullstack Developer from Barcelona. WEB & MOBILE APPS, SCRIPTS, BOTS Some of my projects include: ✅ Remuno Crypto Payment (remuno.com) ✅ Shuffler social App (tinyurl.com/ShufflerApp) ✅ SubsCrypto App (givebtc.tips/SubsCrypto) ✅ Multiple Telegram Bots Tech Stack ➡️ FRONTEND: React, Angular, Vue3, Flutter, Kotlin, Javascript, HTML-CSS, TailwindCSS, Bootstrap ⚙️ BACKEND: NodeJS, Java, Python, C#, Express, Typescript ☁️ CLOUD: AWS, EC2, Firebase, Azure, Google Cloud, Heroku, Vercel ➡️ DATABASE: MySQL, MongoDB, PostgreSQL, Redis, DynamoDB More about me➡️ ferran.work Github➡️ github.com/ferranm99 kevesebb
Dolgozzon vele: ferranm99
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top skills: navigating the Excel user interface, entering, manipulating and formatting data. Use formulas and functions to perform calculations on data. Automate choices and data lookups using functions. Analyze data and present the results in a user-friendly way. Create charts and tables that effectively summarize...top skills: navigating the Excel user interface, entering, manipulating and formatting data. Use formulas and functions to perform calculations on data. Automate choices and data lookups using functions. Analyze data and present the results in a user-friendly way. Create charts and tables that effectively summarize raw data. Create easy-to-use spreadsheets. Validate data, find and correct errors. Create navigation aids for large workbooks. Describe the various types of Machine Learning algorithms and when to use them Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics kevesebb
Dolgozzon vele: pablomontoro040