Boringppl.com's repositories
data-engineer-roadmap
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
data-science-roadmap
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
Linkedin-profiles-scraping
Automatically scrape the web data of people profiles on Linkedin based on a specific search query
Sales-Reporting
Conduct a Report and Analysis on 200,000 sales data points to answer revenue-related questions for the business
presidential-debates-comments-clustering
At the point when we started this project, election week is coming up. There was so much excitement in the air on who is the next US president to be elected. There were thousands of articles on who's leading the polls. The US election has been trending on most, if not all, social media platforms. Being Data scientists, we wonder if it would be possible to leverage on these different data sources to understand various topics of discussion surrounding each candidate. Of which, we have decided to focus on Youtube comments as a starting point for this project.
data-project-guideline-from-Netflix
"Data science is such a nebulous term. To some, it means data analytics; to some it is synonymous to machine learning; others think there is a data engineering flavor to it. The wide spectrum of possible responsibilities and the nuanced differences across companies or even teams within the same company make the identity evasive. You literally have to speak to a data scientist in company X to understand how company X sees data science. This guidline is inspired by a Netflix talk with a focus on the structure of a data science projects."
deeplearning-roadmap
Deep Learning path with multiple notebooks
Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
Auto-Send-Linkedin-Connect-Request
Automatically send Linkedin invites with personalized messages to a database of targeted profiles.
art_of_data_visualization
The art of effective visualization of multi-dimensional data
Crash-Course-on-Python
A comprehensive curriculum of Python programming foundation
hasbrain-helper-files
Helper files for hasBrain notebooks
python-fundamentals
Introductory Python Series for UC Berkeley's D-Lab
Rename-and-Organize-files-directories
Toy problem: Practice generating fake data; then, rename and organize the data into folders of their genres
Creating-Customer-Segments
Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.
Fruit-Images-Dataset
Fruits-360: A dataset of images containing fruits
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
notebook_code_execution
For users of Flownote who wants to understatnd the end to end flow for execution of code