15 skills found
databrickslabs / TempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
jasonjfoster / RollFast and efficient computation of rolling and expanding statistics for time-series data.
andrewuhl / RollingWindowFast rolling and expanding window statistics in [R] using single-pass algorithms
ryankurte / Rust Rolling StatsRolling statistics calculations (min/max/mean/std_dev) over arbitrary floating point numbers based on Welford's Online Algorithm
l33tquant / Ta StatisticsRolling statistics for technical analysis in backtesting and live trading systems
simeonschaub / RollingWindowArrays.jlflexible and efficient rolling window operations
hoangsonww / Stock Data Analysis R🤑 A project for analyzing and visualizing stock performance using R, fetching data from Yahoo Finance for major tickers and generating 43 plots covering trends, volatility, returns, and normalized comparisons. Includes moving averages, rolling metrics, and summary statistics, all automated in a single script.
wenta / Timeseries GoTime series utilities for Go: slicing, rolling windows, resampling, statistics, metrics and session detection.
iuliagroza / Spoof.ioA Proximal Policy Optimization Approach to Detect Spoofing in Algorithmic Trading
deepmancer / Timeseries Anomaly DetectionAnalysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data
shimondoodkin / Efficient Rolling Statsrolling/running statistics in javascript
wbleonard / Mongo Db StatsA utility for rolling up MongoDB collection statistics to the database level
ArShx17 / EV Charging Demand ForecastingA data-driven EV charging demand prediction project using lag features, rolling statistics, and ML models to support smart grid load planning.
Kalyugsasur / AUDL Ultimate Frisbee AnalysisConducted independent t-test to compare the quality across Frisbee leagues. Developed a prediction model to predict the outcome of Frisbee games by analyzing rolling statistics from previous matches. Implemented k-means clustering with PCA to identify specific player roles within a Frisbee team
avrtt / EtsyTime series forecasting: ARIMA/SARIMA, Prophet, LSTM networks and ensemble methods along with automated feature engineering for real-time predictive analytics
