Analytics
This project analyzes the factors driving a customer's historical purchase value. By identifying the most influential features through SHAP analysis, the project provides data-backed insights for optimizing future marketing spend and maximizing Customer Lifetime Value.
To fine-tune the pre-trained model CardiffNLP/twitter-roberta-base-sentiment-latest in order to improve its ability to classify text sentiment into three categories: Positive, Neutral, and Negative.
How Differential Privacy Changes Statistical Results
Value of epsilon = [0.1, 1.0, 5.0] * 100 times
Compare statistical measures
3-hourly temperature line graph
Wind speed line graph and humidity area graph
City points colored according to weather conditions
Linear Regression Prediction Model Comparison
[R] 1. Multiple regression model / 2. L1, L2 mix model / 3. Polynomial Regression model
Tool : R (igraph package) Zachary's karate club
Field: Social relations (real world)
Existence of relationships between each pair (dyads)
Dash boards
Presentations
Based on weather forecast APIs and bike-sharing demand predictions, we report real-time weather and three-day forecasts for locations worldwide.
AdventureWorks2016
Q1: Learn how to create a new table from query results. / Q2: Write a query that creates a new table. / Q3: Write 5 business questions.
DML (Data Manipulation Language) and Import/Export to csv file
5 Questions.
DDL (Data Definition Language) and View. 12 Questions.
Visualization(BI tool)
GoogleBigQueryを用いたSQL記事
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