13 skills found
obre10off / Cursor Prd ExampleExample Cursor PRD File Strcuture to give Cursor maximum context about your project
morrisxyang / XreflectA simple and user-friendly reflection utility library.
conghui / Algorithms In CExercise of the book Algorithms In C, Part 1-4, Fundamentals, Data Strcuture, Sorting, Searching, written by Robert Sedgewick
slok / Algs4 Mvn RepoMaven repository for algorithms and data strcutures coursera course ( https://www.coursera.org/course/algs4partI )
shedunraid / VOD2MLIBA Plugin for Dispatcharr that scans the VOD library and creates STRM files and folder strcuture so that media servers like jellyfin can import them as a library and provide playback.
akshay-varshney / Data Strcutures And Algorithms QuestionsNo description available
ahmedadeltito / Clean Movie Sample AppThis is a sample movie app that implements the pure android clean architecture with multi modules strcuture.
ErfiDev / Ds GolangData strcutures implemented by go programming language
kaljitism / Data Structures And Algorithms DartImplementation of Data Strcutures and Algorithms in Dart
Untitled-Master / Lab Serie No. 0 Reminder On StrcuturesNo description available
Shaswat-G / DSAPracticing Data Strcutures and Algorithms with coursenotes and Leetcode
eshaagarwa / Leedcode Solution🏆🌟 I solve the Problem of the Day on LeetCode daily 🗓️🧩 and have successfully tackled over 50 SQL questions. 💪🧠 Additionally, I've completed DATA Strcuture Course📚. My primary coding language is JAVA 💻, but I have also solved many problems in C++,Python ☕. 🏆🌟
vshlpunjabi / Mighty Hive Statistical Analysis AB TestingMightyHive-AdTech-Split-Testing-Data- MightyHive: AdTech Split Testing Company Website: http://mightyhive.com/call-center-remarketing/ Data Source: Teamleada provide Data science project to get hands on experience. In the project "A/B Testing Analytics: MightyHive Project" the data is provided along with the schema to perform a detailed Data Cleaning, Data Deduplication, Data Strcuturing & Analysis. Data Available: https://www.teamleada.com/projects/ab-testing-analytics-mightyhive-project/data-background/data-background MightyHive is an advertising technology company that uses retargeting methods to send ads to users online. One product, Call Center Remarketing, uses call center log data to retarget those consumers online whom did not make a purchase. As a data analyst, you are tasked with determining the results from an advertising campaign with a MightyHive client Martin’s Travel Agency. Read this background information on retargeting by ReTargeter. Data The results of the advertising campaign for Martin's Travel Agency are given in the following two datasets: The Abandoned Dataset: https://github.com/sayandev/MightyHive-AdTech-Split-Testing-Data-/blob/master/Abandoned_Data_Seed.csv Observations in the Abandoned Dataset are individuals who called into Martins Travel Agency's call center but did not make a purchase. The Reservation Dataset: https://github.com/sayandev/MightyHive-AdTech-Split-Testing-Data-/blob/master/Reservation_Data_Seed.csv Observations in the Reservation Dataset are the customers who called into Martins Travel Agency's call center and made a reservation. The schema for both of the datasets is provided below: Caller_ID - A unique ID generated for every incoming phone call to the call center Session - The Year/Month/Day/Time of each incoming phone call to the call center Incoming_Phone - Phone number identified using caller indentification Contact_Phone - Phone number the caller submits Test_Control - Experiment tag
