Time Series Forecasting with Machine Learning

TIMESTAMPS

• 0:00 Introduction
• 1:51 Defining Problem
• 2:50 Understanding the Data
• 3:18 Analyzing Data (Trend, Seasonality)
• 4:40 Traditional Timeseries Forecasting (ARIMA, Prophet)
• 6:01 Univariate & Multivariate Time series
• 8:15 Time series with Machine Learning
• 9:02 Types of Time series models
• 11:05 Machine Learning Vs. Traditional Time Series

REFERENCES
[1] Math behind Facebook prophet: https://medium.com/future-vision/the-math-of-prophet-46864fa9c55a
[2] Traditional time series analysis step by step: https://www.kaggle.com/freespirit08/time-series-for-beginners-with-arima
[2] Dealing with time series data: https://online.stat.psu.edu/stat510/lesson/1
[3] Catboost is slick : https://catboost.ai/docs/concepts/tutorials.html

#machine-learning