dadavalangege Goto Github PK

1_sql_database_design

Designing a SQL database according to the client's necessities

2_sql_database

Creating a database with MySQL and connecting, modifying, and querying it with Python

advanced_machine_learning

Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.

alumnes-api

cajamar_universityhack_datathon_2023

Participación en el Cajamar UniversityHack Datathon 2023 como miembro del equipo Pynot

classification_models

Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

cracking-the-data-science-interview

Cracking the Data Science Interview

dadavalangege.github.io

data-science

data-science-interviews

Data science interview questions and answers

data-science-question-answer

A repo for data science related questions and answers

elk_stack

Interactive and real-time data visualization dashboard with ELK Stack (Elasticsearch, Logstash & Kibana) connected to our localhost

estructures_control

Lliurament tasca 3

estructures_dades

Gabriel De Santis Lliurament tasca 2

exploratory_analysis

Exploratory Data Analysis of Delayed Flights Data Set

feature_engineering

Improving Machine Learning models performances through Feature Engineering and Feature Scaling techniques such as Principal Component Analysis (PCA), Dummy variables, Standard Scaling and Data Normalization

hello-world

Primer repositorio github

human_metagenomics

hypothesis_testing

Applying Hypothesis Testing techniques to a sportive data set

imatges_numpy

Lliurament tasca 2A Gabriel De Santis

ip_geolocalization

Preprocess, standardize and transform web logs in order to geolocalize and visualize the origin of log events

jupyter_markdown

Gabriel De SantisLliurament tasca 1: Jupyter Notebook i Markdown

mlops-zoomcamp

mlops-zoomcamp-mage

nosql

Creating a No-SQL database with MongoDB, querying and manipulating it with Python (Pymongo)

programacio_numerica

Gabriel De Santis (Tasca 4)

proyecto_git

pumpitup

My participation in the 'Pump it Up: Data Mining the Water Table' challenge by DrivenData

regression_models

Creating and comparing three regression models (Linear, Neureal Network & Random Forest) to predict Flight Delay and figuring out which one is the best.

sampling_methods

The aim of this project was to sample a sports data set