domain cluster

Data & AI

Machine learning, LLMs, and data processing.

9743 스킬all categories
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
304

insert-s3-images-into-excel-from-dataframe

Generate Python code to iterate through S3 keys stored in a pandas DataFrame, fetch the images using boto3, and embed them as actual images into an Excel file.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

matlab-hsihsv

用于将图像像素在RGB、HSV或HSI颜色空间中进行三维散点图可视化。核心逻辑是将色调(H)映射为角度,饱和度(S)映射为半径,亮度(I/V)映射为高度,从而在圆柱体或圆锥体中显示像素分布,并支持在RGB空间添加对角线。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

statistical-analysis-and-gpa-calculation

Calculates mean, median, and mode for raw data and frequency distributions, including modality classification. Computes GPA using a specific 4.0 scale and applies user-defined rounding rules.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

lottery-frequency-optimizer

Analyzes provided lottery number series to generate optimized combinations based on frequency, supporting specific formats like '5 numbers + 2 stars'.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

matlab-mixed-gaussian-simulation-analysis

使用MATLAB生成符合Z=X+nY公式的混合高斯分布随机数,计算理论期望与方差,计算统计量U,并绘制频率分布直方图以分析样本量n的影响。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

cbt

基于CBT社交焦虑三阶段模型(触发情境→认知反应→行为/生理反应),引导来访者识别负性自动思维、安全行为与过度自我关注,共同构建个体化的恶性循环图式,形成可操作的个案概念化框架,为后续行为实验与暴露练习提供认知基础。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

pyspark-user-activity-log-analysis

Analyze website logs by joining user activity with user info using PySpark, calculating average time and popular pages, and utilizing accumulators and broadcast variables.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

vad

Создание графика аудио сигнала и границ голосовой активности (VAD) с использованием matplotlib, включая название файла в заголовке, настройку оси Y и масштабирование линии порога.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

scientific-claim-tuple-extraction

Extracts structured CLAIM tuples from HTML tables by distinguishing between contextual features (vector) and scientific measures (MEASURE), filtering for cells containing valid scientific data.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

excel

用于处理包含时间区间字段和字典字段的Excel表格,计算字典中键位于指定时间区间内且值为正数的平均值。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

matlab

使用MATLAB计算二维矩阵等高线围成的面积,过滤无效值,并将相同level的等高线面积合并统计。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

calculate-and-list-distances-in-kilometers

Calculates the distance from a specified origin (defaulting to Melbourne) to a list of addresses and outputs only the kilometer values without any additional text or labels.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

python-chart-data-structure-generator

Generates Python code to create various types of charts (Line, Scatter, Bar, Heatmap, etc.) using explicit data structures like dictionaries or lists.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

html-table-to-scientific-claim-extraction

Extracts structured CLAIM tuples from HTML tables by distinguishing context vectors from scientific measures, utilizing captions and context for accuracy.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

matlab

针对二维矩阵数据,计算等高线围成的面积,过滤无效值,并将相同层级的等高线面积合并统计。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

csv

使用Python標準庫csv計算CSV文件中第一列目標序列與後續列的相似度,不依賴pandas或SequenceMatcher。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

matlab-csv

生成Matlab脚本,用于从CSV文件中提取A、B、C列,保存为新文件,并计算每列的最大值和最小值,最后将统计结果输出到新的Sheet表格中。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

excel

使用Python和openpyxl遍历Excel表格的指定列,筛选包含特定关键词的行,并将匹配到的关键词添加到输出行的最前面。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

matlab

在MATLAB中实现向量和矩阵的线性平移,平移后空出的位置补0,保持原始维度不变,并要求代码简洁。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

cbt

使用协作式行为功能分析表,向来访者可视化呈现焦虑线索→认知→生理反应→回避行为→短期缓解→长期维持的负强化循环,聚焦‘短期舒服 vs 长期更难’的时间维度对比,以建立共同理解、提升治疗动机。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

c

C 언어를 사용하여 인접 리스트 구조로 방향성 그래프(Digraph)를 생성하고, 동시에 인접 행렬 형태로 출력합니다. 중복 간선, 자기 루프를 방지하며 음수 비용을 허용하는 조건을 충족합니다.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

polars-mstl-decomposition-data-preparation

Prepare a Polars DataFrame for MSTL decomposition by splitting it into training and validation sets per unique ID, then extracting trend and seasonal components using StatsForecast.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-analysis
304

polars-data-cleaning-for-box-cox-transformation

Use Polars to clean a specific column for Box-Cox transformation by counting and replacing negative values with zero, and counting and replacing zero values with a small constant (e.g., 0.01).

ECNU-ICALK
ECNU-ICALK
data-ai
open
Previous
Page 148 / 406
Next