## Linear Regression in Python using StatsModels & Scikit Learn

Learn what regression analysis is and how to implement it in Python in this definitive step-by-step mini-course. If you’re interested, you can follow along with the video and the Linear Regression in Python Juypter Notebook. What …

## History of Data Science

Peter Naur first termed Data Science in the year 1974. But, the journey had begun in ancient times. Here’s a chronicle about the history of data science, tracing its path from the formative collection methods …

## History of AI in Finance

Artificial Intelligence is an indispensable part of the finance world due to its ability to understand complex mathematical relationships and its automation ability. With data and compute power growing exponentially, financial service providers turn to …

## Autoregressive Model Python

Autoregression, or an autoregressive model, is a type of predictive modeling that uses linear regression on past values to predict the next value in a time series. You’ll learn what autoregression is and how to …

## How to Interpret ARIMA Results

To analyze ARIMA results, you need to determine if the model meets the assumptions using Jlung-Box chi-square statistics and autocorrelation of residuals; understand if each term is significant using p-values, and recognize if your model …

## 173+ Astounding Artificial Intelligence Statistics (2022)

The following are the most important historical and current Artificial Intelligence statistics for those researching the markets or industry. Key Statistics The global market for Artificial Intelligence is expected to grow from 58.3 billion in 2021 …

## How to Make a Time Series Stationary in Python

You can make a time series stationary using adjustments and transformations. Adjustments such as removing inflation simplify the historical data making the series more consistent. Transforms like logarithms can stabilize the variance, while differencing transforms …

## How to Check Time Series Stationarity in Python

You can use visual inspection, global vs. local analysis, and statistics to analyze stationarity. The Augmented Dickey-Fuller (ADF) test is the most commonly used parametric test, and the Zivot-Andrews test is better than the ADF …

## What Is Stationarity? A Visual Guide

Stationarity means that a process’s statistical properties that create a time series are constant over time. This statistical consistency makes distributions predictable enabling forecasting, and is an assumption of many time series forecasting models. What …

## Algorithmic Chart Pattern Detection

Traders using technical analysis attempt to profit from supply and demand imbalances. Technicians use price and volume patterns to identify these potential imbalances to profit from them. Algorithmic chart pattern detection allows a trader to …

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