Found 16 repositories(showing 16)
arxanas
`scm-record` is a UI component to interactively select changes to include in a commit. It's meant to be embedded in source control tooling.
Garudex-Labs
SCM (Secure Contract Machine) is a containerised runtime that enables AI agents to negotiate security policies, execute constrained actions, and generate cryptographically verifiable audit records for multi-agent coordination.
Phamdung2009
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EmmanuelLwele
Interview Coding Challenge Data Science Step 1 of the Data Scientist Interview process. Follow the instructions below to complete this portion of the interview. Please note, although we do not set a time limit for this challenge, we recommend completing it as soon as possible as we evaluate candidates on a first come, first serve basis... If you have any questions, please feel free to email support@TheZig.io. We will do our best to clarify any issues you come across. Prerequisites: A Text Editor - We recommend Visual Studio Code for the ClientSide code, its lightweight, powerful and Free! (https://code.visualstudio.com/) SQL Server Management Studio (https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-2017) R - Software Environment for statitistal computing and graphics. You can download R at the mirrors listed here (https://cran.r-project.org/mirrors.html) Azure - Microsoft's Cloud Computing platform. You can create an account without a credit card by using the Azure Pass available at this link (https://azure.microsoft.com/en-us/offers/azure-pass/) Git - For source control and committing your final solution to a new private repo (https://git-scm.com/downloads) a. If you're not very familiar with git commands, here's a helpful cheatsheet (https://services.github.com/on-demand/downloads/github-git-cheat-sheet.pdf) 'R' Challenge For each numbered section below, write R code and comments to solve the problem or to show your rationale. For sections that ask you to give outputs, provide outputs in separate files and name them with the section number and the word output "Section 1 - Output". Create a private repo and submit your modified R script along with any supporting files. Load in the dataset from the accompanying file "account-defaults.csv" This dataset contains information about loan accounts that either went delinquent or stayed current on payments within the loan's first year. FirstYearDelinquency is the outcome variable, all others are predictors. The objective of modeling with this dataset is to be able to predict the probability that new accounts will become delinquent; it is primarily valuable to understand lower-risk accounts versus higher-risk accounts (and not just to predict 'yes' or 'no' for new accounts). FirstYearDelinquency - indicates whether the loan went delinquent within the first year of the loan's life (values of 1) AgeOldestIdentityRecord - number of months since the first record was reported by a national credit source AgeOldestAccount - number of months since the oldest account was opened AgeNewestAutoAccount - number of months since the most recent auto loan or lease account was opened TotalInquiries - total number of credit inquiries on record AvgAgeAutoAccounts - average number of months since auto loan or lease accounts were opened TotalAutoAccountsNeverDelinquent - total number of auto loan or lease accounts that were never delinquent WorstDelinquency - worst status of days-delinquent on an account in the first 12 months of an account's life; values of '400' indicate '400 or greater' HasInquiryTelecomm - indicates whether one or more telecommunications credit inquires are on record within the last 12 months (values of 1) Perform an exploratory data analysis on the accounts data In your analysis include summary statistics and visualizations of the distributions and relationships. Build one or more predictive model(s) on the accounts data using regression techniques Identify the strongest predictor variables and provide interpretations. Identify and explain issues with the model(s) such as collinearity, etc. Calculate predictions and show model performance on out-of-sample data. Summarize out-of-sample data in tiers from highest-risk to lowest-risk. Split up the dataset by the WorstDelinquency variable. For each subset, run a simple regression of FirstYearDelinquency ~ TotalInquiries. Extract the predictor's coefficient and p-value from each model. Store the in a list where the names of the list correspond to the values of WorstDelinquency. Load in the dataset from the accompanying file "vehicle-depreciation.csv". The dataset contains information about vehicles that our company purchases at auction, sells to customers, repossess from defaulted accounts, and finally re-sell at auction to recover some of our losses. Perform an analysis and/or build a predictive model that provides a method to estimate the depreciation of vehicle worth (from auction purchase to auction sale). Use whatever techniques you want to provide insight into the dataset and walk us through your results - this is your chance to show off your analytical and storytelling skills! CustomerGrade - the credit risk grade of the customer AuctionPurchaseDate - the date that the vehicle was purchased at auction AuctionPurchaseAmount - the dollar amount spent purchasing the vehicle at auction AuctionSaleDate - the date that the vehicle was sold at auction AuctionSaleAmount - the dollar amount received for selling the vehicle at auction VehicleType - the high-level class of the vehicle Year - the year of the vehicle Make - the make of the vehicle Model - the model of the vehicle Trim - the trim of the vehicle BodyType - the body style of the vehicle AuctionPurchaseOdometer - the odometer value of the vehicle at the time of purchase at the auction AutomaticTransmission - indicates (with value of 1) whether the vehicle has an automatic transmission DriveType - the drivetrain type of the vehicle
paulsmith
A quick reference cheat sheet for the keyboard and mouse commands for the builtin diff editor in jj (scm-record)
8talha8
It is a broken internship project, Supply Chain Management (SCM) System for a computer manufacturing firm using JSP/Servlet, Ajax, MySQL, Bootstrap, HTML5, eclipse. The main purpose of the system is to store, update and retrieve records of Sales Order, Purchase Order, shipment details, suppliers and the items they supply, customer and their related orders.
immortal-brick
Automated MDM–SCM Notification Gap Analysis system to reconcile notifications and delivery records, reducing manual effort by ~90%.
Rushil24
Comprehensive logistics analysis on the SCMS Delivery History Dataset (10K+ records, 33 features) using ML/MA techniques. Includes data preprocessing, feature engineering, statistical modeling, and actionable insights to optimize delivery performance and reduce delays.
zwx168238
scm study record
Predicting patient outcomes using the Heart Failure Clinical Records dataset with machine learning techniques
Dagmawit43
No description available
Dagmawit43
No description available
delinaa16
Simple Student Record Mini-System - SCM Mini Project
Artanemus
TimeKeeper is used to record the race-time for each entrant in a swimming event. Part of the SCM eco-system of swimming club applications.
RAWx18
SCM (Secure Contract Machine) is a containerised runtime that enables AI agents to negotiate security policies, execute constrained actions, and generate cryptographically verifiable audit records for multi-agent coordination.
dotun-ogundare
The student-collegiate-management (SCM) is a practical software project for managing collegiate records, which can be applied in different contexts. The project is being implemented, by Adedotun Olasunkanmi Ogundare, to the Faculty of Technical Sciences of the prestigious University of Novi Sad. The project was carried out in partial fulfillment of the Software Configuration Management (SCM) Coursework. As such, it is focused on properly maintaining the web-application life cycle from early beginning till deployment using the state-of-art DevOps technologies and agile project management methodology.
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