Name: Francesco Paolo Lezza
Type: User
Bio: Lifelong learning ( ͡~ ͜ʖ ͡°)
Location: Italy
- Kernel: A modest example on the Levenshtein distance
- Kernel: TestingStreamlit
- Kernel: Favorita Forecasting model (1 bronze medal)
- Kernel: Titanic dataset (my first submission)
- Kernel: DecisionTree_with_Iris_Dataset
- Kernel: LogisticRegression_on_Complete_Titanic_Dataset
- Kernel: SentimentAnalysis_IMDB_50K_Movie_Review (1 bronze medal)
- Kernel: KC_Houses_With_LinearRegression
- Kernel: Use ngrok with streamlit (just a simple example)
binarysearchdemo
This Python script demonstrates the versatile application of binary search in various scenarios
configdoxygen
An humble GUI front-end for editing configure doxygen files.
couchbasesimpleapi
About Couchbase simple web service (docker version)
decisiontree
About classify iris plants into three species in this classic dataset
estimatepi
Python implementation of the Monte Carlo method for approximating the value of π (pi).
eulerprojectproblems
About Project Euler problems
exponentialvialogs
A fast way to check if x^y > y^x
extractgpsinfo
Extract GPS and other metadata from image files with EXIF data.
exusingazurecognitiveservices
This code is a C# program that uses Microsoft Cognitive Services Speech SDK to perform speech recognition on an audio file.
exusingazurecognitivetranslator
This C# program uses the Azure Cognitive Services Translator Text API to translate text from German to English language.
favoritatimeseriesforecasting
See: https://www.kaggle.com/competitions/store-sales-time-series-forecasting
francescopaolol
Just about me
francescopaolol.github.io
humblestatistics
Some statistical concepts
knn
About Wine Quality Classification
kubedockplayground-
Just some simple example about Docker and Kubernetes
learningnlp
This repository contains what I'm learning about NLP
learningnlp_with_transformers
Just what I'm learning about NLP with Transformers
levenshteindistance
A simple example of Levenshtein Distance Algorithm
linearregression
About predicting house sale prices for King County
logisticregression
About predicting survival on the Titanic and get familiar with ML basics
mersenneprimenumbers
Simple C code which searching for Mersenne prime about first 1M numbers
pangrams
A simple code that generates Pangrams (what are is written in the readme file :) )
rabbitmqexamples
RabbitMQ basic concepts examples in python
sentimentanalysis
About sentiment analysis on IMDB Dataset of 50K Movie Reviews
similarcalendar
It's essentially a way to identify when the calendar configuration repeats itself over a certain period of time.
streamlitandngrok
This notebook uses Strealit and ngrok together
titaniccompetition
It's my first kaggle competition about predict survival on the Titanic and get familiar with ML basics
xml2json
XML to JSON Converter
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.