bpostance / learn_data_science
Repository of demos, resources and tutorials on DataScience and Machine Learning.
☆10Updated last year
Related projects: ⓘ
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆38Updated 4 years ago
- ☆17Updated 3 years ago
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆8Updated last year
- Data Mining project 2020/2021 @ University of Pisa☆11Updated 3 years ago
- ☆13Updated last year
- Visualization of many Clustering Algorithms, via Notebook or GUI☆21Updated 3 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆31Updated 7 years ago
- Materials for conference talks and workshops☆28Updated 8 months ago
- ☆10Updated 4 years ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆99Updated last year
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 4 years ago
- Tutorial on time-series forcasting with scikit-learn☆35Updated last year
- ☆44Updated 4 years ago
- ☆22Updated 3 years ago
- Deep Learning and Rare Event Prediction☆45Updated 3 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆33Updated 2 years ago
- How to use XGBoost for multi-step time series forecasting☆35Updated last year
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆33Updated 4 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆86Updated last month
- Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision tre…☆8Updated 5 years ago
- Code used to obtain results for my medium articles☆70Updated last year
- How to Interpret SHAP Analyses: A Non-Technical Guide☆42Updated 2 years ago
- sktime workshops & tutorials☆13Updated 3 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆19Updated 7 months ago
- An Essential Graphic Primer of Matplotlib☆27Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆30Updated 2 weeks ago
- Jupyter Notebooks for the M1 MSIAM Course "Numerical Optimization" at Université Grenoble Alpes☆23Updated last year
- A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python☆13Updated 3 years ago
- Python code for Computer Age Statistical Inference☆49Updated 5 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆57Updated 11 months ago