#Python 3

[d0nutzgg]

This is part of a new project I am doing for a Facebook app that can alert someone when there is suspicious activity on their account, and block people who post rude comments and hate speech using a BERT model I am training on a dataset of hate speech. It automatically blocks people who are really rude / mean and keeps your feed clean of spam. I am developing it right now for work and for @emoryvalentine14 to test out and maybe in the future I will make it public.

I love NLP :D Also I plan to host this server probably on Heroku or something after it is done.

[clariontech]

This playbook will provide you with best practices, tools, and strategies for migrating to Python 3 and case studies from companies such as Dropbox, Reddit, and Instagram, as well as words of wisdom from industry experts.

[kabretoss]

Recipe

* bwol

* 1 noodle

* butter (to taste)

ENJOY

[lya-candy]

Building a Custom Image Classification Model for Handwritten Characters

In this blog, I have shared information on how to build a custom machine learning image classification model for recognising handwritten characters. The Challenge of Handwritten Character Recognition Recognising handwritten characters presents unique challenges. Unlike typed text, handwritten characters can vary widely in style, size, and form, even when written by the same person. To address…

[courseswebs]

Applied Data Science with Python Specialization

https://imp.i384100.net/GjkEPn

[jetsonhacks]

Upgrade Python on Jetson Nano - Tutorial

If you have a Jetson running JetPack 4, you can upgrade your Python version from the default Python 3.6. Looky here: Background The current JetPack 4 release installs Jetson Linux 32.7. Jetson Linux is a variant of Ubuntu, in this case version 18.04 LTS. Each Ubuntu release has a group of Python releases. In this case, 18.04 has Python version 3.6, 3.7 and 3.8. This article covers the Jetson…

[paracosmicka]

Does anyone wanna look at pictures of calculators with me

[wohyunz]

MARK PYTHON / MUSIC SHOW Behind The Scenes

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[moodyseal]

TOApril Day 5 - Through The Snake's Lies

I don't know if this actually fits the prompt but when I read it I thought about that scene where Python is all like "my lord" "monsieur" while Nero doesn't notice that he's lowkey mocking him and couldn't come up with anything else 💔

[my-name-is-apollo]

I'm a sucker for anything related to the childhood of Artemis - Apollo, so imagine my joy when I saw these 18-19th century gems depicting the babies & their mama!!

Leto seated under a palm tree, with her infants Artemis and Apollo

The infant Apollo nursed by the nymphs

Themis feeding nectar to young Apollo

Leto and her twins in the presence of Poseidon

Leto punishing the Lycian peasants by turning them into frogs

Leto and her children fleeing from Python

Tityus pursuing Leto

[d0nutzgg]

Predicting Alzheimer's With Machine Learning

Alzheimer's disease is a progressive neurodegenerative disorder that affects millions of people worldwide. Early diagnosis is crucial for managing the disease and potentially slowing its progression. My interest in this area is deeply personal. My great grandmother, Bonnie, passed away from Alzheimer's in 2000, and my grandmother, Jonette, who is Bonnie's daughter, is currently exhibiting symptoms of the disease. This personal connection has motivated me to apply my skills as a data scientist to contribute to the ongoing research in Alzheimer's disease.

Model Creation

The first step in creating the model was to identify relevant features that could potentially influence the onset of Alzheimer's disease. After careful consideration, I chose the following features: Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Socioeconomic Status (SES), and Normalized Whole Brain Volume (nWBV).

MMSE: This is a commonly used test for cognitive function and mental status. Lower scores on the MMSE can indicate severe cognitive impairment, a common symptom of Alzheimer's.

CDR: This is a numeric scale used to quantify the severity of symptoms of dementia. A higher CDR score can indicate more severe dementia.

SES: Socioeconomic status has been found to influence health outcomes, including cognitive function and dementia.

nWBV: This represents the volume of the brain, adjusted for head size. A decrease in nWBV can be indicative of brain atrophy, a common symptom of Alzheimer's.

After selecting these features, I used a combination of Logistic Regression and Random Forest Classifier models in a Stacking Classifier to predict the onset of Alzheimer's disease. The model was trained on a dataset with these selected features and then tested on a separate dataset to evaluate its performance.

Model Performance

To validate the model's performance, I used a ROC curve plot (below), as well as a cross-validation accuracy scoring mechanism.

The ROC curve (Receiver Operating Characteristic curve) is a plot that illustrates the diagnostic ability of a model as its discrimination threshold is varied. It is great for visualizing the accuracy of binary classification models. The curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings.

The area under the ROC curve, often referred to as the AUC (Area Under the Curve), provides a measure of the model's ability to distinguish between positive and negative classes. The AUC can be interpreted as the probability that the model will rank a randomly chosen positive instance higher than a randomly chosen negative one.

The AUC value ranges from 0 to 1. An AUC of 0.5 suggests no discrimination (i.e., the model has no ability to distinguish between positive and negative classes), 1 represents perfect discrimination (i.e., the model has perfect ability to distinguish between positive and negative classes), and 0 represents total misclassification.

The model's score of an AUC of 0.98 is excellent. It suggests that the model has a very high ability to distinguish between positive and negative classes.

The model also performed extremely well in another test, which showed the model has a final cross-validation score of 0.953. This high score indicates that the model was able to accurately predict the onset of Alzheimer's disease based on the selected features.

However, it's important to note that while this model can be a useful tool for predicting Alzheimer's disease, it should not be the sole basis for a diagnosis. Doctors should consider all aspects of diagnostic information when making a diagnosis.

Conclusion

The development and application of machine learning models like this one are revolutionizing the medical field. They offer the potential for early diagnosis of neurodegenerative diseases like Alzheimer's, which can significantly improve patient outcomes. However, these models are tools to assist healthcare professionals, not replace them. The human element in medicine, including a comprehensive understanding of the patient's health history and symptoms, remains crucial.

Despite the challenges, the potential of machine learning models in improving early diagnosis leaves me and my family hopeful. As we continue to advance in technology and research, we move closer to a world where diseases like Alzheimer's can be effectively managed, and hopefully, one day, cured.

[magical-islandgirl]

look how cutie this snake is🥹🤍

[jjjjeonww]

choi seungcheol - "i should move on, i know."

genre - angst ~~in which, seungcheol knows he needs to move on, but he cant. based on python by got7 !! "but she got a hold on me like a python. i dont wanna lose her, yeah she was my future, shot through the chest i was falling for the shooter. i dont wanna, i dont wanna, have to let her go, i should move on i know." word count - 730

Seungcheol paced back and forth in his apartment, his heart heavy with a turmoil of emotions he couldn't untangle. The logical part of his mind screamed at him to move on, to distance himself from the pain of a love that felt destined to end in heartbreak. But his heart, that traitorous organ, refused to let go of you.

You had ensnared him, wrapped around him like a python, squeezing the air from his lungs until he could barely breathe. It was a delicious kind of suffocation, being consumed by you, owned by you completely. And god help him, but Seungcheol never wanted to break free.

You were his future, a vision of a life he couldn't imagine living without you. Every time he closed his eyes, he saw your face, heard your cruel laughter, felt the warmth of your skin against his. You had become his everything, his reason for existing, his soulmate in every sense of the word.

"Don't make me let you go," Seungcheol whispered to the empty room, his voice cracking with emotion. "Please, don't make me lose you."

But even as he begged the universe for mercy, he knew it was a losing battle. You were slipping away, a devilish smirk on your face, your grip loosening, your love fading like a distant memory. And he was powerless to stop it, no matter how tightly he tried to hold on.

"I don't wanna," he choked out, doubling over as if physically struck. "I don't wanna lose you."

Tears stung his eyes as he collapsed onto the couch, his head in his hands. He loved you so deeply, so completely, that the thought of a life without you was unbearable. You were the missing piece of his soul, the one he couldn't live without.

Seungcheol knew he should be strong, should do what was best for you both and walk away. But he was a prisoner to his own desires, a slave to the love that consumed him. And as much as he tried to deny it, he knew he would never be able to let you go.

Because you owned him, body and soul. And even if it meant drowning in the anguish of a love that could never be, Seungcheol knew he would always choose y/n. Always. No matter the cost.

…

Seungcheol's phone buzzed on the coffee table, startling him from his anguished reverie. With a shaking hand, he snatched it up, hoping desperately that it might be you, that you might have changed your mind and decided to give your love another chance. But the sight of his brother's number on the screen dashed those fragile hopes.

"Hello?" he answered, his voice hoarse and heavy with unshed tears.

"Seungcheol, what's wrong? Are you okay?" Seungwoo asked, concern lacing his tone. He knew about his struggles with you, and Seungwoo had been Seungcheol's rock through the heartache of your tumultuous relationship.

"I… I can't do it, Hyung," Seungcheol confessed, his voice breaking. "I can't let her go. I keep telling myself I should, that it's for the best, but… I can't. She's my future, Hyung. I'm falling for her all over again every time I think about her."

He listened as his brother sighed, knowing he understood his plight all too well. Seungwoo had seen firsthand the way you brought him to life, filled him with a joy and passion he'd never known before. You knew the depth of his love, the way it consumed him utterly.

"Then don't let her go," Seungwoo said softly, his voice filled with gentle wisdom. "Love like that, it doesn't come around every day. You have to fight for it, Seungcheol. Show her that she's worth fighting for."

Seungcheol closed his eyes, a single tear slipping down his cheek at his brother's words. He was right, of course. He had to try, had to find a way to make you see that his love was worth saving, worth cherishing.

"I don't know how," he admitted, his voice barely above a whisper. "I don't know if I have the strength to keep going if she rejects me again."

"If she rejects you, then she rejects you. But act quick Seungcheol. She's coming after me now."

Those words stuck to Seungcheol's mind. "coming after me now" "coming after me now" "coming after me now"

…Was Seungcheol… Just a game? And was Seungwoo next?

[grindarkstudio]

Listen, I admit I have two modes: full on awesome illustrations with thought and purpose...

And niche fandom shitpost doodles.

[butteredsconesfortea]

Happy birthday to the Beatle with the best sense of humour <3 🎂

[mspaintpetfinder]

Gilgamesh