Alan Alves alan86alves

Words	Description	Tip
Shoutout	Salve, Abraço, Valeu!	Charaout
Black English	Inglês de negão
AAVE	African American Vernacular English
Let's Go	Bora nessa!
Hold up	Calma
Damn	Putz
Gyat	Nossa, que bumbum grande	Guieeetttti
GOD DID	Deus fez isso

Video:

https://www.youtube.com/watch?v=bmmQA8A-yUA

Texto:

This machine learning course is created for beginners who are learning in 2024. The course begins with a machine learning roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python. Todd have created this course. She is an experienced data science professional. Her aim is to demystify machine learning concepts, making them accessible and actionable for newcomers and to bridge the gap in existing educational resources, setting you on a path to success in the evolving field of machine learning. Looking to step into machine learning or data science? It's about starting somewhere practical yet powerful. In this introductory course, Machine Learning for Beginners, we're going to cover the basics of machine learning and we're going to put that into practice by implementing it in a real-world case study. I'm Tadhe Vasayan, co-found

	----------------------------------------------------------------------
	-- Ler arquivos do INEP
	----------------------------------------------------------------------
	CREATE OR REPLACE FUNCTION inep_data.func_file_read_format_save(param_path_file varchar, type varchar) RETURNS void AS
	$$
	DECLARE
	code_load VARCHAR := md5(random()::text);
	BEGIN
	EXECUTE format('copy inep_data.temp_file(line) FROM ''%s''', param_path_file);
	IF type = 'institution' THEN

	await doc.useServiceAccountAuth({
	client_email: process.env.GOOGLE_SERVICE_ACCOUNT_EMAIL \|\| "",
	private_key: process.env.GOOGLE_PRIVATE_KEY \|\| "".replace(/\\n/g, "\n"),
	});

	// Carrega as informações da planilha
	await doc.loadInfo();

	// Seleciona a primeira guia da planilha
	const sheet = doc.sheetsByTitle['tools'];

	/// <reference types="google-spreadsheet" />

	import { GoogleSpreadsheet } from "google-spreadsheet";
	import { Tool } from "@prisma/client";
	import { prisma } from "../../app/clients/prisma";
	import slugify from 'slugify';

	require("dotenv").config();

	async function main() {

	===========================================================================
	REDIS
	===========================================================================

	const client = createClient({
	url: process.env.REDIS_URL
	});

	client.on('error', (err) => console.log('Redis Client Error', err));

	#!/usr/bin/env ruby

	# _ _
	# \| \|__ ___\| \|_
	# \| '_ \ _ \ _\|
	# \|_.__\___/\__\|
	# @alancriaxyz

	# Require files
	require "openai"

	# /===-_---~~~~~~~~~------____
	# \|===-~___ @ 2016 _,-'
	# -==\\ `//~\\ ~~~~`---.___.-~~
	# ______-==\| \| \| \\ _-~`
	# __--~~~ ,-/-==\\ \| \| `\ n ,'
	# _-~ /' \| \\ / / \ /
	# .' / a \| \\ /' / a \ /'
	# / ____ / \| \`\.__/-~~ ~ \ _ _/' / \/'
	# /-'~ ~~~~~---__ \| l ~-/~ ( ) /' _--~`
	# \_\| / _) ; ), __--~~

	<div class="fixed bottom-1 left-1 z-50 flex h-6 w-6 items-center justify-center rounded-full bg-gray-800 p-3 font-mono text-xs text-white">
	<div class="block sm:hidden">xs</div>
	<div class="hidden sm:block md:hidden lg:hidden xl:hidden 2xl:hidden">sm</div>
	<div class="hidden md:block lg:hidden xl:hidden 2xl:hidden">md</div>
	<div class="hidden lg:block xl:hidden 2xl:hidden">lg</div>
	<div class="hidden xl:block 2xl:hidden">xl</div>
	<div class="hidden 2xl:block">2xl</div>
	</div>