Documenting colab materials:
- Investigations
- Templates
- Projects
- Article: Securely storing configuration credentials in a Jupyter Notebook
- Article: Automatically Reload Modules with %autoreload
- Calmcode: ipywidgets
- Documentation: Jupyter Lab
- Pluralsight: Getting Started with Jupyter Notebook and Python
- Youtube: William Horton - A Brief History of Jupyter Notebooks
- Youtube: I Like Notebooks
- Youtube: I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
- Youtube: Ryan Herr - After model.fit, before you deploy| JupyterCon 2020
- Youtube: nbdev live coding with Hamel Husain
- Youtube: How to Use JupyterLab
- Article: Creating a Catchier Word Cloud Presentation
- Article: Effectively Using Matplotlib
- Article: Which color scale to use when visualizing data
- Datacamp: Introduction to Data Visualization with Python
- Datacamp: Introduction to Seaborn
- Datacamp: Introduction to Matplotlib
- Datacamp: Intermediate Data Visualization with Seaborn
- Datacamp: Visualizing Time Series Data in Python
- Datacamp: Improving Your Data Visualizations in Python
- Datacamp: Visualizing Geospatial Data in Python
- Datacamp: Interactive Data Visualization with Bokeh
- Youtube: Applied ML 2020 - 02 Visualization and matplotlib
1:07:30
- Docs: Beautiful Soup Documentation
- Datacamp: Importing Data in Python (Part 2)
- Datacamp: Web Scraping in Python
- Article: Create A Synthetic Image Dataset — The “What”, The “Why” and The “How”
- Article: We need Synthetic Data
- Article: Weak Supervision for Online Discussions
- Article: ML Infrastructure Tools for Data Preparation
- Article: Exploring the Role of Human Raters in Creating NLP Datasets
- Article: Inter-Annotator Agreement (IAA)
- Article: How to compute inter-rater reliability metrics (Cohen’s Kappa, Fleiss’s Kappa, Cronbach Alpha, Krippendorff Alpha, Scott’s Pi, Inter-class correlation) in Python
- Article: The Pitfalls of Inter-Rater Reliability in Data Labeling and Machine Learning
- Youtube: Snorkel: Dark Data and Machine Learning - Christopher Ré
- Youtube: Training a NER Model with Prodigy and Transfer Learning
- Youtube: Training a New Entity Type with Prodigy – annotation powered by active learning
- Youtube: ECCV 2020 WSL tutorial: 4. Human-in-the-loop annotations
- Youtube: Active Learning: Why Smart Labeling is the Future of Data Annotation | Alectio
- Youtube: Lecture 8: Data Management (Full Stack Deep Learning - Spring 2021)
0:59:42
- Youtube: Lab 6: Data Labeling (Full Stack Deep Learning - Spring 2021)
0:05:06
- Youtube: Lecture 6: Data Management
- Youtube: SE4AI: Data Quality
1:07:15
- Youtube: SE4AI: Data Programming and Intro to Big Data Processing
0:33:04
- Youtube: SE4AI: Managing and Processing Large Datasets
1:21:27
- Article: A Visual Intro to NumPy and Data Representation
- Article: Good practices with numpy random number generators
- Article: NumPy Illustrated: The Visual Guide to NumPy
- Article: NumPy Fundamentals for Data Science and Machine Learning
- Datacamp: Intro to Python for Data Science
- Pluralsight: Working with Multidimensional Data Using NumPy
- Article: Visualizing Pandas' Pivoting and Reshaping Functions
- Article: A Gentle Visual Intro to Data Analysis in Python Using Pandas
- Article: Comprehensive Guide to Grouping and Aggregating with Pandas
- Article: 8 Python Pandas Value_counts() tricks that make your work more efficient
- Datacamp: pandas Foundations
- Datacamp: Pandas Joins for Spreadsheet Users
- Datacamp: Manipulating DataFrames with pandas
- Datacamp: Merging DataFrames with pandas
- Datacamp: Data Manipulation with pandas
- Datacamp: Optimizing Python Code with pandas
- Datacamp: Streamlined Data Ingestion with pandas
- Datacamp: Analyzing Marketing Campaigns with pandas
- edX: Implementing Predictive Analytics with Spark in Azure HDInsight
- Article: Modern Pandas
- Datacamp: Spreadsheet basics
- Datacamp: Data Analysis with Spreadsheets
- Datacamp: Intermediate Spreadsheets for Data Science
- Datacamp: Pivot Tables with Spreadsheets
- Datacamp: Data Visualization in Spreadsheets
- Datacamp: Introduction to Statistics in Spreadsheets
- Datacamp: Conditional Formatting in Spreadsheets
- Datacamp: Marketing Analytics in Spreadsheets
- Datacamp: Error and Uncertainty in Spreadsheets
- edX: Analyzing and Visualizing Data with Excel
- Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
- LECTURE 1: ALGORITHMIC THINKING, PEAK FINDING
- Article: Asymptotic Analysis Explained with Pokémon: A Deep Dive into Complexity Analysis
- Book: Grokking Algorithms
- Codecademy: Big O
- Khan Academy: Data Structures
- Udacity: Intro to Algorithms
- Udacity: Programming Languages