서울시 열린데이터 광장 API 활용 1. 서울교통공사 역별 혼잡도 현황 열린데이터광장 메인 데이터분류,데이터검색,데이터활용 data.seoul.go.kr 2. 서울시 지하철호선별 역별 승하차 인원 정보 열린데이터광장 메인 데이터분류,데이터검색,데이터활용 data.seoul.go.kr Rush Hour 7시 - 8시 반 Go 6시 - 7시 8시 반 - 9시

Small scale dataset text classification [Data imbalanced] Dealing with Data Imbalance in Text Classification Author links open overlay panel https://www.sciencedirect.com/science/article/pii/S1877050919314152 [Augment Data] Improving Short Text Classification With Augmented Data Using GPT-3 https://arxiv.org/abs/2205.10981 [Small Text Classification] Extremely Small BERT Models from Mixed-Vocabu..

LeetCode-242 Valid Anagram : info note : subthe two strings contain the same letters, but the order of the letters may be different. :::python class Solution: def isAnagram(self, s: str, t: str) -> bool: if len(s)!=len(t): return False for i in s: if i not in t: return False else: t = t.replace(i,'',1) return True Result : 59ms Memory: 16.8mb 문제 이해 주어진 문자열 s와 t가 주어졌을 때, s의 문자를 재배열하여 t를 얻..

LeetCode-217 Contains Duplicate : Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct. note : 1

https://neetcode.io/roadmap NeetCode.io neetcode.io Quality > Quantity Just Know Most Importance Concept 1. Array & Hashing Problems Contains Duplicate Valid Anagram Two Sum Group Anagrams Top K Frequent Elements Product of Array Except Self Valid Sudoku Encode and Decode Strings Longest Consecutive Sequence 2-1. Two Pointers Problems Valid Palindrome Two Sum II Input Array Is Sorted 3Sum Contai..

LeetCode-706 Design HashMap : Design a HashMap without using any built-in hash table libraries. note : At most 104 calls will be made to put, get, and remove.Answer :::python class ListNode: def init(self, key=None, value=None): self.key = key self.value = value self.next = None class MyHashMap: def init(self): self.size = 10**4 self.table = collections.defaultdict(ListNode) def put(self, key: i..

ChatGPT Prompt Engineering for Developers What you’ll learn in this course In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll... www.deeplearning.ai ChatGPT Prompt Engineering for Developers 7 - Chatbot 정리 Setup import openai def get_completion(prompt, model="gpt-3.5-tur..

ChatGPT Prompt Engineering for Developers What you’ll learn in this course In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll... www.deeplearning.ai ChatGPT Prompt Engineering for Developers 6 - Expanding 정리 Setup import openai import os from dotenv import load_dotenv, f..