radicali94

Work until you no longer have to introduce yourself. (Junior Data Scientist)

EspritTunisia

Pinned Repositories

bonplan
pidev
Language:Java0 2 01
Dataviz-Pandas-Plotly
Data visualization using Numpy, Pandas, Sklearn and Plotly on time-series revenue
Language:Jupyter Notebook2 2 02
Fraud-Detection
Fraud detection cases are the most appropriate to learn how to deal with imbalanced datasets
Language:Jupyter Notebook3 2 01
FX_pricing
Utilisation du modèle Garman-Kohlhagen inspiré du modèle Black-Scholes pour l'estimation de la volatilité implicite et le pricing des options de change (Foreign Exchange)
Language:Jupyter Notebook1 2 00
Sentiment-Analysis-NLP
Scraping tweets and analyzing tweet's polarity using Natural Language Processing
Language:Jupyter Notebook3 2 01
Shiny-EDA
Automated Exploratory Data Analysis Dashboard. (uni-variate and bi-variate analysis)
Language:R5 2 01
Shiny-ML
Automated Modeling and comparison with Cross-Validation (shiny dashboard)
Language:R4 2 01
TimeSeries-Regression
Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
Language:Jupyter Notebook22 2 08
volatility-regression
EUR / USD
Language:Jupyter Notebook00

radicali94/TimeSeries-Regression
Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
Language:Jupyter Notebook22 2 08
radicali94/Shiny-EDA
Automated Exploratory Data Analysis Dashboard. (uni-variate and bi-variate analysis)
Language:R5 2 01
radicali94/Shiny-ML
Automated Modeling and comparison with Cross-Validation (shiny dashboard)
Language:R4 2 01
radicali94/Fraud-Detection
Fraud detection cases are the most appropriate to learn how to deal with imbalanced datasets
Language:Jupyter Notebook3 2 01
radicali94/Sentiment-Analysis-NLP
Scraping tweets and analyzing tweet's polarity using Natural Language Processing
Language:Jupyter Notebook3 2 01
radicali94/Dataviz-Pandas-Plotly
Data visualization using Numpy, Pandas, Sklearn and Plotly on time-series revenue
Language:Jupyter Notebook2 2 02
radicali94/FX_pricing
Utilisation du modèle Garman-Kohlhagen inspiré du modèle Black-Scholes pour l'estimation de la volatilité implicite et le pricing des options de change (Foreign Exchange)
Language:Jupyter Notebook1 2 00
radicali94/bonplan
pidev
Language:Java0 2 01
radicali94/volatility-regression
EUR / USD
Language:Jupyter Notebook00