Francesco Paolo Lezza's repositories
LearningNLP
This repository contains what I'm learning about NLP
SentimentAnalysis
About sentiment analysis on IMDB Dataset of 50K Movie Reviews
ConfigDoxygen
An humble GUI front-end for editing configure doxygen files.
FavoritaTimeSeriesForecasting
See: https://www.kaggle.com/competitions/store-sales-time-series-forecasting
FrancescoPaoloL
Just about me
BinarySearchDemo
This Python script demonstrates the versatile application of binary search in various scenarios
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.
HumbleStatistics
Some statistical concepts
KubeDockPlayground-
Just some simple example about Docker and Kubernetes
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
RabbitMQExamples
RabbitMQ basic concepts examples in python
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