统计分析课程实验作业/包含《统计分析方法》中因子分析,主成分分析,Kmeans聚类等典型算法的手写实现
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Updated
Feb 15, 2020 - Python
统计分析课程实验作业/包含《统计分析方法》中因子分析,主成分分析,Kmeans聚类等典型算法的手写实现
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
Professional financial modeling toolkit for Claude Code with auto-invoked Skills. Build DCF models, LBO analysis, variance reports, and pivot tables using natural language.
Implementation of Lo and MacKinlay's statistical tests from A Non Random Walk Down Wall Street
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
GAUSS implementation of ICSS from Sansó et al. "Testing for Changes in the Unconditional Variance of Financial Time Series"
Job-ready FP&A & Financial Analytics portfolio—forecasting, variance analysis, KPI dashboards, and executive reporting (Python/SQL).
In this note, we will give the recursive formulas for sample mean and sample variance, and their generalized forms for batch updates.
This is the repo for the project in Combinatorial Decision Making and Optimization at @unibo: optimizing a stock portofolio by using linear and quadratic optimization functions.
Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.
Automated FP&A forecasting and scenario modeling engine with driver-based revenue modeling, P&L projections, confidence intervals, and variance backtesting. Exports executive-ready Excel reports.
A -2.76% Variance in Income Actuals ($6.91M). A 7.67% Savings in Expense Actuals through efficient budget management. Visual Risk Assessment for five unique project IDs using conditional formatting.
Bias & fairness analyzer for ML datasets with Streamlit + HuggingFace deployment
Hamming Network implementation using pca implementation for reduction all from scratch
Rental income and maintenance cost variance analysis for a property management company. Built in PostgreSQL covering 5 related tables, 1,800+ transaction records, and 7 business questions using JOINs, GROUP BY, CASE WHEN, HAVING, CTEs, and subqueries.
End-to-end SQL framework for Budget vs. Actual (BvA) variance analysis. Features a normalized PostgreSQL schema and dynamic CTE-based logic to isolate 5% annual overspends.
Power BI FP&A Dashboard featuring revenue vs budget analysis, variance waterfall, cash flow monitoring, and rolling 3-month forecasting.
Interactive financial variance dashboard with Power Query, multi-source data merging, and budget analysis.
FP&A Analysis Toolkit
The Chinook Data Analysis Project leverages PostgreSQL, Python, and Google Spreadsheets to explore and analyze the Chinook music store database. Insights will be presented through Tableau Dashboards and Stories. Stay tuned for updates as the project evolves.
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