blog article image

What is the Sliding Window Method in Time Series Analysis?

Sliding Window Method in Time Series Analysis: A Self-Supervised Learning Approach The sliding window method is a foundational technique in time...

Read more
blog article image

Using Granger Causality to Determine Whether Twitter Sentiment Predicts Bitcoin Price Movement

In this article, we are again going to combine my current favorite subjects: natural language processing, time series analysis, and financial...

Read more
blog article image

Mistakes in Stock Prediction: Trying to Predict the Price

Hello friends! Curious about how to properly predict stock prices?   I've now released the third video in this YouTube mini-series. For...

Read more
blog article image

Why you shouldn’t use prices as inputs to predict stock prices in machine learning (YouTube Episode 20)

Ever come across a machine learning / data science blog demonstrating how to predict stock prices using an autoregressive model, with past stock...

Read more
blog article image

Convert a Time Series Into an Image with Gramian Angular Fields and Markov Transition Fields

In my latest course (Time Series Analysis), I made subtle hints in the section on Convolutional Neural Networks that instead of using 1-D...

Read more
blog article image

Predicting Stock Prices with Facebook Prophet

Prophet is Facebook's library for time series forecasting. It is mainly geared towards business datasets (e.g. predicting adspend or CPU usage), but...

Read more
blog article image

NEW COURSE: Time Series Analysis, Forecasting, and Machine Learning in Python

Time Series Analysis, Forecasting, and Machine Learning in Python VIP Promotion The complete Time Series Analysis course has arrived Hello...

Read more
blog article image

Data Science Interview Questions: Random Walk Hypothesis and Stock Price Prediction

Welcome to another episode of Data Science Interview Questions! In this episode, I discuss the Random Walk Hypothesis and Stock Price...

Read more