google-advanced-data-analytics
Here are 10 public repositories matching this topic...
Linear/logistic regression, hypothesis testing, and model evaluation — Google Advanced Data Analytics
-
Updated
Jun 5, 2026 - Jupyter Notebook
Complete ML toolkit: Naive Bayes, Decision Trees, Random Forest, XGBoost, K-Means — Google Advanced Data Analytics
-
Updated
Jun 5, 2026 - Jupyter Notebook
My personal project for the Google Advanced Data Analytics capstone project.
-
Updated
Oct 23, 2024 - R
Automated EDA pipeline with reusable visualization wrappers — Google Advanced Data Analytics
-
Updated
Jun 5, 2026 - Python
About The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
-
Updated
Sep 5, 2024 - Jupyter Notebook
Case studies of different companies whose multiple data analytics tasks have been studied using Statistical models and Machine Learning in Python
-
Updated
Aug 1, 2024 - Jupyter Notebook
Reusable Python utilities for data loading, EDA, and cleaning — Google Advanced Data Analytics
-
Updated
Jun 5, 2026 - Jupyter Notebook
Projects I have completed as part of the Google Advanced Data Analytics Certificate.
-
Updated
Nov 22, 2023 - Jupyter Notebook
End-to-end ML capstone with 3 scenarios (Automatidata, TikTok, Waze) — Google Advanced Data Analytics
-
Updated
Jun 5, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the google-advanced-data-analytics topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the google-advanced-data-analytics topic, visit your repo's landing page and select "manage topics."