datacamp / Machine-Learning-With-XGboost-live-trainingLinks
Live Training Session: Machine Learning with XGboost
☆18Updated 5 years ago
Alternatives and similar repositories for Machine-Learning-With-XGboost-live-training
Users that are interested in Machine-Learning-With-XGboost-live-training are comparing it to the libraries listed below
Sorting:
- Timeseries for everyone☆262Updated 2 years ago
 - Code used to obtain results for my medium articles☆75Updated 2 years ago
 - Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
 - Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆57Updated 3 months ago
 - Code for the book Art of Feature Engineering☆32Updated 3 years ago
 - Forecasting Time-Series Data with Facebook Prophet, published by Packt☆105Updated last month
 - Modern Time Series Forecasting with Python 2E, Published by Packt☆173Updated last month
 - Time Series Modeling: ML and Deep Learning Approaches with Python☆22Updated 4 years ago
 - Slides for "Feature engineering for time series forecasting" talk☆62Updated 2 years ago
 - Learning statistics with Python☆53Updated 4 years ago
 - Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 5 years ago
 - Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference☆25Updated 3 years ago
 - An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
 - ☆37Updated 4 years ago
 - ☆26Updated 4 years ago
 - ☆13Updated 4 years ago
 - Sell Out Sell In Forecasting project implemented at Nestlé☆20Updated 3 years ago
 - ☆31Updated 3 years ago
 - Practical Time-Series Analysis, published by Packt☆410Updated 2 years ago
 - Hello world univariate examples for a variety of time series packages.☆57Updated last year
 - Forecasting: Principles and Practice☆61Updated 4 years ago
 - Applied Probability Theory for Everyone☆120Updated last year
 - Solutions manual with odd-numbered solutions☆26Updated 4 years ago
 - ☆34Updated 4 years ago
 - A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆38Updated last year
 - Forecasting lectures and tutorials using Python☆127Updated 8 years ago
 - Code repository for the online course "Feature Engineering for Time Series Forecasting".☆191Updated last year
 - A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
 - Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆34Updated 5 years ago
 - Repository for the book Simplifying Machine Learning with PyCaret.☆67Updated 2 years ago