cristinasprogrammingadventure
π I am a Data Scientist, analyst and Architect. Practical, analytical and creative problem solver. π I speak French, English Spanish, Catalan and Romanian.
Pinned Repositories
Base-de-dades
A compilation of MySQL exercises, with code and solutions included.
Big-Data
Big Data with Python and Spark (PySpark) for data analysis. It includes word count exercises, power plant analysis and soon it will include tweets analysis.
Car_Accidents_2023_Barcelona
CristinaCosma
Config files for my GitHub profile.
CV
Machine-Learning-for-breast-cancer-detection
Anomaly Detection using classification with malignant / benign tumors dataset
ML_regressions
Cleaning and interpretation of data. Pre-processed. Creation of regression models (regression trees, random forest, XGBoost MODEL OPTIMIZATION REGRESSOR, other models...). Use of metrics to interpret results, modification of parameters.
ML_unsupervised
Machine Learning : Clustering with neural networks using Facebook data
NLP_Project
Sentiment Intensity Analysis and other Natural Language Processing procedures applied to texts written by the main politic figures of a small town in Barcelona Area (Catalonia). Find the top-positive, top-neutral and top-negative text, person and party. Analyze trends in time; think how speech trends influence popularity before May 2023 elections.
Text_mining
Analyzing Elon Musk Interview "Future, A.I., and Mars" In this conversation, Elon Must talks about our Future, Artificial Intelligence (A.I) and Mars at World Government Summit moderated by H.E. Mohammad Al Gergawi in Dubai.
cristinasprogrammingadventure's Repositories
cristinasprogrammingadventure/Base-de-dades
A compilation of MySQL exercises, with code and solutions included.
cristinasprogrammingadventure/Big-Data
Big Data with Python and Spark (PySpark) for data analysis. It includes word count exercises, power plant analysis and soon it will include tweets analysis.
cristinasprogrammingadventure/Car_Accidents_2023_Barcelona
cristinasprogrammingadventure/CristinaCosma
Config files for my GitHub profile.
cristinasprogrammingadventure/CV
cristinasprogrammingadventure/Data_structures
Python data structures such as : lists, random lists, nested dictionaries and methods to access data
cristinasprogrammingadventure/Machine-Learning-for-breast-cancer-detection
Anomaly Detection using classification with malignant / benign tumors dataset
cristinasprogrammingadventure/ML_regressions
Cleaning and interpretation of data. Pre-processed. Creation of regression models (regression trees, random forest, XGBoost MODEL OPTIMIZATION REGRESSOR, other models...). Use of metrics to interpret results, modification of parameters.
cristinasprogrammingadventure/ML_unsupervised
Machine Learning : Clustering with neural networks using Facebook data
cristinasprogrammingadventure/NLP_Project
Sentiment Intensity Analysis and other Natural Language Processing procedures applied to texts written by the main politic figures of a small town in Barcelona Area (Catalonia). Find the top-positive, top-neutral and top-negative text, person and party. Analyze trends in time; think how speech trends influence popularity before May 2023 elections.
cristinasprogrammingadventure/Text_mining
Analyzing Elon Musk Interview "Future, A.I., and Mars" In this conversation, Elon Must talks about our Future, Artificial Intelligence (A.I) and Mars at World Government Summit moderated by H.E. Mohammad Al Gergawi in Dubai.
cristinasprogrammingadventure/web_scraping
BeautifulSoup and Selenium for web scraping : "quotes.toscrape.com", "bolsamadrid.es" "wikipedia.es Anexo: Reyes_de_EspaΓ±a"
cristinasprogrammingadventure/ecohortapp
Curs Golang App Eco Hort (Oriol Tinoco)
cristinasprogrammingadventure/estructuras_de_control
Control structures exercises such as conditionals and bucles, if/ else/ elif, function creation
cristinasprogrammingadventure/estructures_Dataframe
cristinasprogrammingadventure/Examining-Data
Examining Data with Python
cristinasprogrammingadventure/Git_GIT-GITHUB_course
cristinasprogrammingadventure/hello_python
Repository for helping learners get familiar with Python basics. It is an introduction to programming.
cristinasprogrammingadventure/ML_classification
Classification of wine category with a variety of models
cristinasprogrammingadventure/PRE-PROCESSING-DATA
Matpotlib and Seaborn plots, movies dataframe
cristinasprogrammingadventure/Price-Forecasting-time-series
Price trends analysis and forecasting using Prophet time series and Simple Moving Averages (SMA) for periods of 20, 50, 100, and 200 days
cristinasprogrammingadventure/programacio_numerica
Python functions, Numpy, Pandas
cristinasprogrammingadventure/Python-Matplotlib-basic-visualizations
Python Matplotlib basic visualizations for Data Analytics
cristinasprogrammingadventure/QGIS-cheat-sheet
Cheat sheet for PyQgis
cristinasprogrammingadventure/R_plots_probability
Perceptions of Probability and Numbers
cristinasprogrammingadventure/SkLearn_Train_Test
Train-Test exercises with ScikitLearn from a dataset with information about homes in Houston
cristinasprogrammingadventure/visualitzacio_exploratoria
cristinasprogrammingadventure/Visualitzacio_grafica_multiples_variables
Data cleaning with Python, Pandas and regex functions. data vizualization with Matplotlib and Seaborn