Sitemap - 2022 - Data Science & Machine Learning 101
Python Data Structure - Classes
Data Interview 1: Machine Learning Engineer
Machine Learning Operations (MLOps) Part 2
Becoming "Bonjwa" In The Data Industry
Machine Learning Operations (MLOps) Part 1
Vetting Your Data Science Guru
Step By Step Guide To Becoming a Data Scientist
What *Real* Data Science Looks Like
Q&A for October & Getting Extra Practice
3 Most Common Data Science Scams
Data Science & Fraud Detection
Using Neural Networks to De-censor Anime Girls
Should You Lie On Your Resume?
Finalized Instructions for the October Contest
Data Science Competition in October. Winner gets 1000 USD.
Data Wrangling 3: Group By, Mean, and Group By + Mean
Common Python Errors: Understanding What they mean, and how to fix them
Allocation Bias - Data Science & Medical Industry
Data Science interview preparation
Principal Components Regression
A Data Product Managers Take On Hiring Data Professionals
CyberSecurity & Data Science Converge with BowTiedCyber
Feature Engineering Part 2: Polynomial (Quadratic) Regression
Feature Engineering Part 1: Getting More Value from Your Regression
Understanding Linear Regression
Probability Distributions in Real Life
Data Wrangling 2: Create new columns based on a condition
Python & R: Merging Time Series Data
Look-ahead Bias & How To Prevent It's Damage
Machine Learning, Is It All Hype?
Probability Fundamentals & The American Income
How You Can Get an Edge When Applying
List Comprehensions Made Super Easy In Python
How to Attract Good Candidates (and what not to do)
Misc 4: Jupyter Notebook & RMarkdown
Musings on Machine Learning Engineering
Stats Analysis 1: The 5 Number Summary & IQR
Linear Algebra 3: Products, Length, and Orthogonals
Misc 3: DA (Intermediate) SQL Coding Test
Data Wrangling 1: Basic Subsets, and Some Performance Tips
Python3: Data Structures: Dictionaries & Some Interview Questions
Linear Algebra2: Linear Independence, Basis, and Spans
Python2: Data Structures: Lists & Shallow vs Deep Copy
Python1: Data Structures: Tuples & Coding Interview Questions
Misc1: A Real Life DS Coding Test
Coding 7: Libraries/Modules/Packages
Coding 6: Conditional Expressions, and IF Else Statements.
Coding5: Loops, Functions, and Scope
Coding4: Immutability & String Functions
Coding3: Strings: Length, Concatenation, Indexing, and Slicing Part 2
Coding3: Strings: Length, Concatenation, Indexing, and Slicing Part 1
Coding2: Variables, Comments, and Interpreting Errors.
Coding1: Setting up Python, R, and your first program. Part 2.