Applied AI Scientist @Nixtla. I work on time series forecasting, NLP and causal inference.
TimeSeriesForecastingInPython. Jupyter Notebook
649time-series-analysis. Collection of notebooks for time series analysis
436Deep_Learning_AI. Jupyter Notebook
133AppliedTimeSeriesForecastingInPython. Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
67datasciencewithmarco. All notebooks from video tutorials
65TimeSeriesForecastingUsingFoundationModels. Official repository for the book Time Series Forecasting with Foundation Models
56AI-for-trading. Repository of all completed projects during the "AI for Trading" Nanodegree
50youtube_tutorials. Jupyter Notebook
50stock-prediction. Jupyter Notebook
45MachineLearningModelDeploymentwithStreamlit. Jupyter Notebook
38AppliedTimeSeriesAnalysisWithPython. Jupyter Notebook
38air-quality. Jupyter Notebook
25ISL-linear-regression. Jupyter Notebook
22ISL-Ridge-Lasso. Jupyter Notebook
19Neural_Networkds_and_Deep_Learning. Jupyter Notebook
16intermittent_time_series. Jupyter Notebook
13time-series-classification-in-python. Jupyter Notebook
11ISL-Unsupervised. Jupyter Notebook
7ISL-classification. Jupyter Notebook
6times-series-analysis. Jupyter Notebook
5ISL-SVM. Jupyter Notebook
5streamlit-population-canada. A web app to visualize the population of Canada and forecast it
4neuralforecast. Scalable and user friendly neural :brain: forecasting algorithms.
3ISL-Decision-Trees. Jupyter Notebook
3pytorch_lightning_course. Jupyter Notebook
2Stanford-ML-ex1. My take on the first exercise of Andrew Ng's Machine Learning course on Coursera.
2learn_llm. A repo where I experiment with LLMs
2exponential_smoothing. Jupyter Notebook
2glia_assessment_text_classif. Jupyter Notebook
1MLMDS_deploy_dashboard. Deploy a simple dashboard to Render
1MLMDS_deploy_db_forecast. Deploy forecast with secrets management
1Stanford-ML-ex8. My take on the eighth exercise of Andrew Ng's Machine Learning course on Coursera.
1maca-interview. Jupyter Notebook
1Stanford-ML-ex7. My take on the seventh exercise of Andrew Ng's Machine Learning course on Coursera.
1financial-demo. A demo for a financial services bot
1Stanford-ML-ex6. My take on the sisxth exercise of Andrew Ng's Machine Learning course on Coursera.
1lending-club-analysis-modelling. Jupyter Notebook
1marcopeix.github.io. CSS
1Stanford-ML-ex5. My take on the fifth exercise of Andrew Ng's Machine Learning course on Coursera.
1Stanford-ML-ex3. My take on the third exercise of Andrew Ng's Machine Learning course on Coursera.
1chinook-insights. Data Science Project 10
1titanic-survival-prediction. Machine Learning Project 5
1credit-modelling-lending-club. Machine Learning Project 4
1Stanford-ML-ex2. My take on the second exercise of Andrew Ng's Machine Learning course on Coursera.
1Stanford-ML-ex4. My take on the fourth exercise of Andrew Ng's Machine Learning course on Coursera.
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