At this point, this is a family conversation. There is nothing that Black books about feminist rage can do for you now.

No one wants to wear five dollar leggings and generic Uggs and spend three hours touching all the display cases at a Super Target more than I do right now. These characteristics are what one might call those of a “basic bitch”:

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oday and every day. So much of what we think we must do — and what we end up doing — is not essential. Rip off the chains of obligation to these things. Then you’ll be able to better do what is essential and get a taste of the tranquillity that Aurelius was talking about.

Note from the editors: Towards Data Science is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this article should not be interpreted as professional advice. See our Reader Terms for details. To learn about the coronavirus pandemic, you can click here.

The basic bitch — as she’s sometimes called because it’s funnier when things alliterate, and because you’re considered a poor sport if you don’t find it funny — is almost always a she. In more sophisticated renderings, her particularities vary by region and even neighborhood, but she is almost always portrayed as utterly besotted with Starbucks’s Pumpkin Spice Latte. It is the setup to nearly every now-familiar punch line about a basic bitch, her love for the autumnal mass-market beverage. Pumpkin Spice Lattes are “mall.” They reveal a girlish interest in seasonal changes and an unsophisticated penchant for sweet. (Noreen Malone, “What Do You Really Mean When You Say ‘Basic Bitch’?” (The Cut)

Seriously, there is a lot to be said about how and why white women’s support for Donald Trump actually outperformed (however slightly) 2016. Maybe it’s religion. Maybe it’s internalized sexism. Maybe it’s uncut racism. Whatever it is, it is a political problem no matter who ends up winning this election.

Often, overfitting machine learning models have very high accuracy on the data sets they are trained on, but as a data scientist, the goal is usually to predict new data points as precisely as possible. To make sure that the model is evaluated based on how good it is to predict new data points, and not how well it is modeled to the current ones, it is common to split the datasets into one training set and one test set (and sometimes a validation set).

beginSim() while len(peopleDictionary)<100000 and len(peopleDictionary) > 1: infantMortality = runYear(food, agriculture, fertilityx, fertilityy, infantMortality, disasterChance)

Basic is about a kind of consumption. It is the mindless intake of tepid cultural tastes. Basic isn’t really about the Pumpkin Spice Latte or the cottagecore home design or the Hallmark Christmas movies. Those are just signifiers. Basic is about the cultural production and consumption of an apolitical relationship to the everyday world that inocculates the basic from being offended — and perhaps most importantly — from being offensive to others. A basic bitch is, above all, safe.

input_train = np.array([[0, 1, 0], [0, 1, 1], [0, 0, 0], [10, 0, 0], [10, 1, 1], [10, 0, 1]]) output_train = np.array([[0], [0], [0], [1], [1], [1]]) input_pred = np.array([1, 1, 0]) input_test = np.array([[1, 1, 1], [10, 0, 1], [0, 1, 10], [10, 1, 10], [0, 0, 0], [0, 1, 1]]) output_test = np.array([[0], [1], [0], [1], [0], [0]])

Times have been wild. We want to feel safe again. The last 24 hours have been especially wild and exceptionally offensive. As of five minutes ago, almost 68 million people in this country who experienced four years of Donald Trump’s irascible, sociopathic administration voted for him again. Biden and Harris may eventually win this thing but they will not have won a clear mandate. And, they may not be able to govern with the basic mandate they’ve won.

While this is a simple and incomplete model, you now know how to build a simulation! To take this to the next level, you can update and advance this program to include way more factors like health conditions, social class, urbanization, healthcare, various kinds of disasters, geolocation, etc. Overall, I hope this inspires you to build your own simulations for the pandemic, population growth, or whatever else you can think of!

if random.randint(0,100)

Note from the editors: Towards Data Science is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this article should not be interpreted as professional advice. See our Reader Terms for details. To learn about the coronavirus pandemic, you can click here.

Never have we needed the mindlessness of basic cultural consumption more. But we haven’t earned it. Well, some of us haven’t earned it. Since basic is about a certain type of white womanhood, let’s talk about white women and this election.

In this simple neural network, we will classify 1x3 vectors with 10 as the first element. Input and output training and test sets are created using NumPy’s array function, and input_pred is created to test a prediction function that will be defined later. Both the training and the test data are comprised of six samples with three features each, and since the output is given, we understand that this is an example of supervised learning.