- published: 30 Sep 2015
- views: 6182
Using the -predict- postestimation command in Stata to create predicted values and residuals.
www.STEADFASTtutoring.com | One of the main reasons for the the idea of lines of best fit is that we need to be able to predict values (e.g., number of expected bird species in a given area) that we're not able to directly observe, based on real values that we actually have already observed. Here's how it works!
Learn more about enterprise cloud strategy and download this ebook: http://aka.ms/enterprisecloudebook. Learn how companies like Zillow would predict the value of your home! In this conversation, our guest speaker is Raja Iqbal, Chief Data scientist and CEO of Data science Dojo. Data Science Dojo, a Redmond, WA based company has trained thousands of data scientists at over 100 companies globally with the mission of ""Data science for everyone"". "
4.1.6 Predict whether a compound of two elements would be ionic from the position of the elements in the periodic table or from their electronegativity values. Elements far from each other on the periodic table are likely to be ionic, since those far apart elements probably have a high difference in electronegativity (electron love). A difference of 1.7 of above is considered ionic.
Remember that ENTROPY can also be thought of as DISORDER. Gas has the highest entropy in IB chemistry, so any reaction that produces gas will have a positive value of delta S, whereas any reaction that uses up gas will have a negative delta S. This is an oversimplification, e.g. what happens if both product and reactants are gaseous -- watch the vid!
In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine...
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19.1.1 Describe the standard hydrogen electrode. 19.1.2 Define the term standard electrode potential . 19.1.3 Calculate cell potentials using standard electrode potentials. 19.1.4 Predict whether a reaction will be spontaneous using standard electrode potential values.
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 recurrent nets for time series data, and why LSTMs boost our network's memory power. Coding challenge for this video: https://github.com/llSourcell/How-to-Predict-Stock-Prices-Easily-Demo Vishal's winning code: https://github.com/erilyth/DeepLearning-SirajologyChallenges/tree/master/Image_Classifier Jie's runner up code: https://github.com/jiexunsee/Simple-Inception-Transfer-Learning More Learning Resources: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ http://deeplearning.net/tutorial/lstm.html https://deeplearning4j.org/lstm.html https://www.tensorflow.org/tutorials/recurrent http://machinelearningmastery.com/time-series...
How to use pKa values to predict the position of equilibrium for organic acid-base reactions. Watch the next lesson: https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/stabilization-of-a-conjugate-base-electronegativity-new?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Missed the previous lesson? https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/using-a-pka-table?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Organic Chemistry on Khan Academy: Carbon can form covalent bonds with itself and other elements to create a mind-boggling array of structures. In organic chemistry, we will learn about the reactions chemists use to synthesize crazy carbon based structures, as well as the a...
How to invest in cryptocurrency: https://www.alexfortin.com/freepdf Learn my top 3 cryptocurrency to invest in 2017. There is only a few cryptocurrencies that deserve our attention. In this video I show you the 3 cryptocurrency you should buy in 2017 and beyond. Number 3: Ethereum. Ethereum has been around for a few years already and is now the second biggest cryptocurrency by market cap. There was a lot of trouble with the hardfork over the past few months but I believe that future is brighter for Ethereum. number 2: Factom has been the underdog for quite a while. I really think that factom has a lot of utility cand could become one of the most valuable cryptocurrency out there. Number 1: Bitcoin is the first cryptocurrency ever created and we are currently in the biggest bull run w...
Learn how to apply the predictive modeling process in Spotfire in order fit and validate a model which is then used to predict a numerical data column. Try Spotfire for free today: http://spotfire.tibco.com/trial For more great resources like this head over to our Learning Resources page: http://spotfire.tibco.com/learn Want some help? Head over to the TIBCO Community: http://community.tibco.com/products/spotfire
This video show you how to use the TREND function to predict future monthly sales (from one to multiple months) based on historical values. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------- Subscribe to the Blog: http://myexcelcharts.blogspot.com
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