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Machine Learning Wonder!

I took a very broad and difficult question, although one that should have had a finite answer, and used some SCADA data to train a model that would be able to predict unplanned downtime in a well far enough ahead as to be able to send out an engineer to apply preventative maintenance.

My hypothesis, formed after analysis of literally millions of rows of data, is that AI was able to determine, based on highly effective and productively tuned wells, that attempts by the well to adjust itself in response to SCADA results were met frustratingly by inconsistent next hour readings. For this reason, the model threw extreme outliers in terms of 'Danger Scores' as it had learned that a well was appropriately tuned to adjust in response to information it received from below the earth.

Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5

In this video, make sure you define the X's like so. I flipped the last two lines by mistake: X = np.array(df.drop(['label'],1)) X = preprocessing.scale(X) X_lately ...

How to Make Predictions from a Multiple Regression Analysis

From an existing multiple regression output produced with Excel 2007, I show you how to make point predictions and approximate 95% prediction intervals.

Predicting the Winning Team with Machine Learning

Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn ...

How to Predict Stock Prices Easily - Intro to Deep Learning #7

We're going to predict the closing price of the S&P 500 using a special type of recurrent neural network called an LSTM network. I'll explain why we use ...

Predictive Data Analytics in UNDER 5 Minutes

For NeuroSolutions Infinity software, visit: Download the FREE Trial: What is .

Checking Linear Regression Assumptions in R (R Tutorial 5.2)

How to check the validity of assumptions made when fitting a Linear Regression Model. In this video you will learn how to use residual plots to check the linearity ...

Kaggle Top1% Solution: Predicting Housing Prices in Moscow

This project was completed by students graduated from NYC Data Science Academy 12-week Data Science Bootcamp. Ranked #15 out of 3274 teams on ...

Predicting with Linear Models

Predicting with Linear Models.

A Convolutional Neural Network Model for Predicting a Product’s Function, Given Its Form

Quantifying the ability of a digital design concept to perform a function currently requires the use of costly and intensive solutions such as Computational Fluid ...

Secrets For Predicting Market Behaviour: Fundamentals & Technicals

Technical analysis The better your understanding of the financial markets and spread ..