Discover how to strategically price your software and services to outsmart competitors and maximize ...
ELT (Extract-Load-Transform) Traditionally, you loaded data into a data warehouse through a process ...
As a data scientist or researcher, creating high-quality visualizations is essential to communicatin...
Excellent Frameworks for Data Science Products Product management is a crucial aspect of any busines...
Product Management, Lean Startup, and the MVP Most of my career has been in Product Management, and ...
As a Data Scientist, Analyst, or anyone developing a product or solution, you can borrow tools that ...
What is Prefect? Prefect is an open-source orchestration tool for data engineering. It is a Python-b...
What is PostgreSQL? PostgreSQL is a powerful relational database management system (RDBMS) that many...
Introduction to ETL with AWS Lambda When it comes time to build an ETL pipeline, many options exist....
What is a Marketing Attribution Platform? A Marketing Attribution Platform is a tool that allows you...
Why do I Need to Normalize MongoDB Data in Snowflake? MongoDB is a document database that stores dat...
What is Snowflake? Snowflake is a cloud-based data platform designed to be easy to use and fast, and...
What is Astromer Airflow? We'll start here with Airflow. Apache Airflow is an open-source workflow m...
Working with Environment Variables in Python Note: This article advises a safe way to store and retr...
What is Looker? Looker is a Business Intelligence (BI) tool from Google. It's entirely web-based and...
What is Mongo DB and Why a DataFrame? MongoDB is in a class of databases known as NoSQL databases. N...
What is Explainability? Explainability is one of the most important topics you can learn and apply i...
What is Design Thinking? First, you might think, "What does design thinking have to do with Data Sci...
How to Create a Compelling Slide Deck As data scientists or analysts, we spend countless hours perfe...
What is Feature Engineering? Feature Engineering in machine learning is creating new features from e...
What is Model Selection? Model selection in Machine Learning is selecting the best model for your da...
What is Feature Selection? Feature Selection in Machine Learning is selecting the most impactful fea...
Introduction to Regression Linear Regression is the most common type of regression analysis and is a...
What is Hyperparameter Tuning? Hyperparameter tuning is a method in which you finely tune a machine ...
What is PCA? Principal Component Analysis or PCA is a dimensionality reduction technique for data se...
What are Multi-Class and Multi-Label Classification? Often when you start learning about classificat...
What is AWS EMR AWS EMR is Amazon's implementation of the Hadoop Distributed Computing Platform, des...
What is Classification in Machine Learning? There are two general types of supervised machine learni...
What Text Clustering? In the last post, we talked about Topic Modeling, or a way to identify several...
What is a Topic Model? Topic Modeling is one of my favorite NLP techniques. It is a technique for di...
What is Sentiment Analysis? Sentiment analysis helps understand the tone of text data, positive, neg...
What is a Bag of Words Have you ever wondered how Machine Learning (ML) deals with text when ML is b...
What is Named Entity Recognition? Named Entity Recognition or NER is a technique for identifying and...
What is Noun Phrase Chunking? In the last post, I covered Part of Speech Tagging, which is the proce...
What is a Part of Speech? Part of Speech (POS) is a way to describe the grammatical function of a wo...
What is EDA? EDA, or Exploratory Data Analysis, is the process of examining and understanding the st...
What is Imbalanced Data Imbalanced data is a case that is incredibly common in Machine Learning appl...
Overview Using LaTeX to author a paper can be a tedious process when you're just getting started; ho...
Model Evaluation for Binary Classification Understanding how to evaluate models is a critical part o...
What is PCA? Principal Component Analysis or PCA is a dimensionality reduction technique for data se...
What is a Common Table Expression When writing complex queries, it's often useful to break them up i...
Why Pipelines? When I started building models in Sklearn, I would break each pre-processing step int...
Cleaning Text One of the most common tasks in Natural Language Processing (NLP) is to clean text dat...
Invalidating with Python and the Boto3 SDK Cloudfront's default TTL for edge caches is 24 hours. In ...