Pinned Repositories
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
PumpItUp
My participation in the 'Pump it Up: Data Mining the Water Table' challenge by DrivenData
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.
dadavalangege's Repositories
dadavalangege/1_SQL_DataBase_Design
Designing a SQL database according to the client's necessities
dadavalangege/2_SQL_DataBase
Creating a database with MySQL and connecting, modifying, and querying it with Python
dadavalangege/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.
dadavalangege/Cajamar_UniversityHack_Datathon_2023
Participación en el Cajamar UniversityHack Datathon 2023 como miembro del equipo Pynot
dadavalangege/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).
dadavalangege/ELK_Stack
Interactive and real-time data visualization dashboard with ELK Stack (Elasticsearch, Logstash & Kibana) connected to our localhost
dadavalangege/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
dadavalangege/IP_Geolocalization
Preprocess, standardize and transform web logs in order to geolocalize and visualize the origin of log events
dadavalangege/NoSQL
Creating a No-SQL database with MongoDB, querying and manipulating it with Python (Pymongo)
dadavalangege/PumpItUp
My participation in the 'Pump it Up: Data Mining the Water Table' challenge by DrivenData
dadavalangege/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.
dadavalangege/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.
dadavalangege/Web_Scraping
Web Scraping with Scrapy, BeautifulSoup and Selenium
dadavalangege/dadavalangege.github.io
dadavalangege/Data-Science
dadavalangege/data-science-interviews
Data science interview questions and answers
dadavalangege/estructures_control
Lliurament tasca 3
dadavalangege/Exploratory_Analysis
Exploratory Data Analysis of Delayed Flights Data Set
dadavalangege/human_metagenomics
dadavalangege/Hypothesis_Testing
Applying Hypothesis Testing techniques to a sportive data set
dadavalangege/imatges_numpy
Lliurament tasca 2A Gabriel De Santis
dadavalangege/mlops-zoomcamp
dadavalangege/mlops-zoomcamp-mage
dadavalangege/programacio_Numerica
Gabriel De Santis (Tasca 4)
dadavalangege/Sampling_Methods
The aim of this project was to sample a sports data set
dadavalangege/self_cs_studying_notes
Self studying Computer Science notes
dadavalangege/SkLearn_Train_Test
S11_T01
dadavalangege/Statistics
Calculating basic statistical data out of a sports data set
dadavalangege/Visual_exploration
Data visual exploration and insights
dadavalangege/visualitzacio_exploratoria
Tasca 1 (Sprint 4)