Free WordPress Plugin: The Z-Score Calculator helps to get the z-score of a normal distribution, convert between z-score and probability, and get the probability between 2 z-scores. www.calculator.io/z-score-calculator/

Malicious URL detector built with deep exploration on feature engineering.

Q3.Auditors at a small community bank randomly sample 100 withdrawal transactions made during the week at an ATM machine located near the bank’s main branch. Over the past 2 years, the average withdrawal amount has been $50 with a standard deviation of $40. Since audit investigations are typically expensive, the auditors decide to not initiate furt

In January 2005, a company that monitors Internet traffic (WebSideStory) reported that its sampling revealed that the Mozilla Firefox browser launched in 2004 had grabbed a 4.6% share of the market. I. If the sample were based on 2,000 users, could Microsoft conclude that Mozilla has a less than 5% share of the market? II. WebSideStory claims that

Analysis of Growth Data

The algorithm identifies clusters and gaps in integer datasets, calculates their Z-scores based on mean density and distance, and outputs the results as JSON.

Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task

misc scripts

This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.

Assignment Advance Stats

Assignment Basic Stats

This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.

Probs practice

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

🔢 Anomaly detection service for Google Cloud Monitoring metrics, utilising statistical analysis to identify significant deviations in time-series data

Here you can find different scripts to perform financial analysis with data from the Financial Modeling Prep API.

quartile , and modified Z-score cli to detect abnormal values

LMS growth chart algorithm

Feature transformation is a technique in machine learning that is used to modify the original features of a dataset in order to improve the performance of machine learning algorithms.

Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing