dadavalangege

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.

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).

ELK_Stack

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

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

IP_Geolocalization

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

NoSQL

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

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.

Unsupervised_Classification

Working with unsupervised learning models (K-means, Hierarchical Clustering, PCA) in order to classify a delayed flights data set in clusters and discovering new possible patterns in it.

Web_Scraping

Web Scraping with Scrapy, BeautifulSoup and Selenium

dadavalangege.github.io

Data-Science

data-science-interviews

Data science interview questions and answers

estructures_control

Lliurament tasca 3

estructures_dades

Gabriel De Santis Lliurament tasca 2

Exploratory_Analysis

Exploratory Data Analysis of Delayed Flights Data Set

hello-world

Primer repositorio github

Hypothesis_Testing

Applying Hypothesis Testing techniques to a sportive data set

imatges_numpy

Lliurament tasca 2A Gabriel De Santis

Jupyter_Markdown

Gabriel De SantisLliurament tasca 1: Jupyter Notebook i Markdown

programacio_Numerica

Gabriel De Santis (Tasca 4)

proyecto_git

Sampling_Methods

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

SkLearn_Train_Test

S11_T01

Statistics

Calculating basic statistical data out of a sports data set

Visual_exploration

Data visual exploration and insights

visualitzacio_exploratoria

Tasca 1 (Sprint 4)