springboard
There are 75 repositories under springboard topic.
ChefKissInc/QEMUAppleSilicon
Apple Silicon devices emulated on QEMU, currently only iPhone 11.
MMBazel/Springboard-DataScienceTrack-Student
Springboard Program: Data Science Career Track - NLP
mikaelbo/ProxySwitcher
Easily enable / disable WiFi proxy on a jailbroken iOS device
TalkingData/tap2debug
An iOS SpringBoard tweak,double click to start the debug server.
MMBazel/Classifying-Sales-Calls
Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier
aydenp/TranslucentMessages
Make the iOS Messages app translucent!
MMBazel/Predicting-Kickstarter-Campaign-Outcomes-Using-NLP-Feature-Engineering
Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)
dobabaophuc1706/LS-UI-Store
Assets.car files to replace Flash & Camera icons
GFGWin/IconToolForiOS13.1.3
iOS 13.1.3 logo上滑获得该应用的bundleID
ipadkid358/BJUtils
Private tweak that supports some of my server toys
MMBazel/Springboard-MLETrack-Student
Collection of notes, code snippets, & mini projects for the ML Eng track.
babyhandzzz/springboard_projects
All_the_projects_required_by_Springboard_DS
bdavis19/Call-Center-Projects
Call center statistics analysis.
insanj/HideHomeTime
Hide the status bar time on the home screen http://insanj.github.io/HideHomeTime/
trdtnguyen/sb-miniproject7
Airflow DAG scheduling to get stock data from Yahoo! Finance, save to csv files, fetch csv file to database and query.
klane/springboard
Springboard Data Science Career Track assignments
mtholahan/apache-airflow-mini-project
Built Apache Airflow DAGs to automate Yahoo Finance stock data ingestion, storage, and querying, then extended with a Python log analyzer to monitor execution errors. Demonstrates orchestration, scheduling, operator use, and pipeline monitoring.
ashwin-patil/springboard-intro-to-datascience
Repository for everything related Springboard Introduction to Data Science workshop
chrisjm/brewery-review-nlp
Brewery review analysis and summarization with NLP - Springboard Data Science Career Track - April 2020 Cohort - Final Capstone
glebec/springboard
🏁 Personal GitHub setup for easy project initialization
ipadkid358/UnsplashWalls
Set iOS wallpaper, by Activator gesture, to a random Unsplash image
pjandir/Springboard-DSTrack
Springboard Data Science bootcamp
aydenp/Countdown
A Countdown to whatever you want on your Lock Screen
bdavis19/Basic-data-manipulation
Springboard - Data Wrangling Exercise 1
data2al/Data_Science_Training_2018
Springboard Intro To Data Science Training Projects
ipadkid358/DarkSuite
Dark styled system elements
jkhsjdhjs/hide-dot-labels
iOS tweak to hide blue 'recently updated' and orange 'beta' dots next to app labels.
mikec964/meeple-matcher
Recommendation engine for board games, using data from BoardGameGeek.com
mtholahan/python-oop-mini-project
Implemented a simplified banking system in Python using OOP principles. Modeled customers, accounts, employees, and services such as loans and credit cards. Applied PEP-8 style, logging, and exception handling, with UML-based design and a command-line interface for deposits, withdrawals, and account management.
PivaleCo/drupal-scaffold
A springboard project for new Drupal 8 projects, using as many standards and best practices as possible.
tomhalloin/Springboard-Berkshire
Topic model analysis of Berkshire Hathaway annual letters (Completed Capstone Project #2)
trdtnguyen/sb-capstone1
Springboard Capstone Project 1
trdtnguyen/sb-guided-capstone
Springboard guided capstone project
mtholahan/apache-spark-optimization-mini-project
Optimized PySpark jobs by analyzing query execution plans and rewriting transformations for efficiency. Applied techniques such as reducing shuffles, tuning partitions, selecting efficient operators, and choosing optimal data formats. Demonstrates performance tuning for large-scale Spark ETL workloads using Python and PySpark.
mtholahan/kafka-mini-project
Built a streaming fraud detection system with Apache Kafka and Python. Deployed a Kafka cluster via Docker Compose, implemented a transaction generator and fraud detector using kafka-python, and routed suspicious transactions to separate topics for real-time monitoring. Demonstrates event streaming, producers, consumers, and containerization.