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Kevin C Lee
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Published in Towards Data Science

·Pinned

Sentiment Analysis — Comparing 3 Common Approaches: Naive Bayes, LSTM, and VADER

A Study on Strengths and Drawbacks for the Different Approaches (With Sample Code) — Note: The code for this post can be found here Sentiment Analysis, or Opinion Mining, is a subfield of NLP (Natural Language Processing) that aims to extract attitudes, appraisals, opinions, and emotions from text. Inspired by the rapid migration of customer interactions to digital formats e.g. emails, chat rooms, social…

Lstm

10 min read

Sentiment Analysis — Comparing 3 Common Approaches: Naive Bayes, LSTM, and VADER
Sentiment Analysis — Comparing 3 Common Approaches: Naive Bayes, LSTM, and VADER

Published in Towards Data Science

·Pinned

Improve Your Analytics Projects w/ These Data Distributions Visualizations

With Sample Code for Enhancements to Inspire Your Charting Creativity — Note: The code for this post can be found here Understanding how the variables are distributed in the data is an important step and should happen early in the Exploratory Data Analysis (EDA) process. There are a number of tools available to analyze the distribution of data. Visualization aids are…

Data Science

11 min read

Improve Your Analytics Projects w/ These Data Distributions Visualizations
Improve Your Analytics Projects w/ These Data Distributions Visualizations

May 14, 2021

Where to Look for Indications of Airlines Safety

An Analysis Using Tableau — An Analysis Using Tableau Inspired by the recovery of air traffic demand, I looked at airline safety records to see if there are noticeable patterns. Many consumers say or at least claim that they would avoid airlines that have had incidents in the past. In my analysis, I look to…

Airlines

2 min read

Where to Look for Indications of Airlines Safety
Where to Look for Indications of Airlines Safety

Published in Analytics Vidhya

·Apr 30, 2021

Deploy a Web API with Python, Flask, and MongoDB on Heroku in 10 Mins

Step-by-Step Guide to Build an API w/ Python, Flask, and MongoDB on Heroku — Step-by-Step Guide to Build an API w/ Python, Flask, and MongoDB on Heroku Note: The code for this post can be found here API stands for Application Programming Interface. It is a software intermediary that allows systems to communicate with each other. For example, when a user enters a URL…

Flask

13 min read

Deploy a Web API with Python, Flask, and MongoDB on Heroku in 10 Mins
Deploy a Web API with Python, Flask, and MongoDB on Heroku in 10 Mins

Published in Towards Data Science

·Apr 26, 2021

Build a Data Collection App on the Cloud for Your Next Time Series Data Science Project

Step-By-Step Guide To Build and Deploy a Data Collection App w/ Python and PostgreSQL on Heroku — Note: The code for this post can be found here In spite of the Data Proliferation observed in recent years, too often do we find ourselves being roadblocked by the lack of data for a project. Throughout a typical day of web browsing, we come across countless pieces of information…

Python

13 min read

Build a Data Collection App on the Cloud for Your Next Time Series Data Science Project
Build a Data Collection App on the Cloud for Your Next Time Series Data Science Project

Published in Towards Data Science

·Mar 25, 2021

Analyzing and Interpreting Data From Rating Scales

2-Part Guided Case Study using Student/Customer Satisfaction Survey Data — Note: The code for this post can be found here Rating Scales are an effective and popular way to gauge attitudes and opinions. They are easy to implement and widely used in surveys, feedback forms, and performance evaluations. Yet, misuses and mistakes often occur in the implementation and analysis of…

Python

11 min read

Analyzing and Interpreting Data From Rating Scales
Analyzing and Interpreting Data From Rating Scales

Published in Python in Plain English

·Mar 12, 2021

Iterating Through Subplots to Tune Your Visualizations

Sharing A Snippet to Experiment Plot Configurations Quickly — Note: The code for this post can be found here In Data Analytics/Science, the Exploratory Data Analysis process generally includes constructing visualizations that represent and summarize the data set. Good visualizations can be very powerful in describing complex trends and stats in the data, but finding them can be an…

Python

3 min read

Iterating Through Subplots to Tune Your Visualizations
Iterating Through Subplots to Tune Your Visualizations

Published in Towards Data Science

·Mar 2, 2021

Pandas DataFrame vs. Spark DataFrame: When Parallel Computing Matters

With Performance Comparison Analysis and Guided Example of Animated 3D Wiref — Note: The code for this post can be found here Python is famous for its vast selection of libraries and resources from the open-source community. As a Data Analyst/Engineer/Scientist, one might be familiar with popular packages such as Numpy, Pandas, Scikit-learn, Keras, and TensorFlow. Together these modules help us extract…

Pandas

5 min read

Pandas DataFrame vs. Spark DataFrame: When Parallel Computing Matters
Pandas DataFrame vs. Spark DataFrame: When Parallel Computing Matters

Published in Towards Data Science

·Jan 14, 2021

Machine Learning Intuition from a Familiar Angle

Explore the Motivation and Capabilities of ML Through the Game of Rock Paper Scissors — Note: The code for this post can be found here In this article, we’re going to build a simple Rock Paper Scissors game in Python with two different approaches: Rules-Based System vs. Machine Learning. Through this comparison, I hope to express how Machine Learning works and its motivations. To be…

7 min read

Machine Learning Intuition from a Familiar Angle
Machine Learning Intuition from a Familiar Angle

Published in Python in Plain English

·Jan 7, 2021

Machine Learning As a Service

Guided Example of Model Deployment using Python and Flask — Note: The code for this post can be found here The last step in the Machine Learning Life Cycle is to put the model into production, also known as “operationalizing” the model. It often means enabling the model to generate outputs based on new data given. In the context of…

Python

9 min read

Machine Learning As a Service
Machine Learning As a Service
Kevin C Lee

Kevin C Lee

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