wen👩🏻💻
@DS_Wen_
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👋 senior data scientist. i do = data science + ai + lifelong learning with a growth mindset
Sydney, New South Wales
Joined August 2014
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IBM Product Manager Professional Certificate
👋 An Introduction
🤝 Foundations & Stakeholder Collaboration
📝 Initial Product Strategy and Plan
🚀 Developing and Delivering a New Product
🔄 Introduction to Agile Development and Scrum
🎓 Capstone Project
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18 Data Science Project Ideas for Beginners
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K-Means Clustering - An Explorable Explainer
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Visualizing Geospatial Data in Python. Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps
#Python
#DataViz
#Geospatial
2
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241
Understanding K-means Clustering: Hands-On with SciKit-Learn
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155
How to Develop Interpretable Time Series Forecasts with Deep Learning
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44
153
Exploratory Data Analysis in R. Learn how to use graphical and numerical techniques to begin uncovering the structure of your data
#R
#EDA
#techniques
3
29
118
From Jupyter Notebook to Deployment — A Straightforward Example
1
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
1
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105
How to Use Streamlit and Python to Build a Data Science App
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Visualization for Data Journalism
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102
Data Science Foundations: Statistical Inference
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102
Bayesian Statistics Overview and your first Bayesian Linear Regression Model
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37
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Considerations for Deploying Machine Learning Models in Production
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How to Easily Draw Neural Network Architecture Diagrams
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17
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Building a Machine Learning Model for Lead Decisions using the Tree Ensemble Learner in KNIME
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Random Forests Algorithm explained with a real-life example and some Python code
0
10
63
Git and GitHub basics for Data Scientists
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12
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Bayesian Statistics Overview and your first Bayesian Linear Regression Model
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14
51
Python Data Products for Predictive Analytics
0
14
47
Bayesian Statistics Overview and your first Bayesian Linear Regression Model
0
18
44
Linear Regression and Modeling
1
8
41
How to Forecast Time Series Data Using Deep Learning
0
8
39
Random Forests Algorithm explained with a real-life example and some Python code
0
14
42
Considerations for Deploying Machine Learning Models in Production
1
11
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Decision Tree Models in Python — Build, Visualize, Evaluate
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9
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SHAP: Explain Any Machine Learning Model in Python
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8
40
Communicating with Data in the Tidyverse: Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
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17
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From Jupyter Notebook to Deployment — A Straightforward Example
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8
39
Considerations for Deploying Machine Learning Models in Production
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12
38
Developing Applications with Google Cloud
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9
31
Bayesian Statistics Overview and your first Bayesian Linear Regression Model
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5
37
Random Forests Algorithm explained with a real-life example and some Python code
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2
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How to Develop Interpretable Time Series Forecasts with Deep Learning
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15
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Python Project for Data Science
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15 Essential Python Libraries for Data Science and Machine Learning
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5 ways to Increase Statistical Power
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Five Regression Python Modules That Every Data Scientist Must Know
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A Practical Guide To Data Visualization: Part 1
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Logistic Regression
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Time Series Forecasting with Statistical Models
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A Practical Guide to Linear Regression
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Git and GitHub basics for Data Scientists
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Complete Machine Learning pipeline for NLP tasks
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Logistic Regression from First Principles in Python
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Considerations for Deploying Machine Learning Models in Production
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Analyzing IoT Data in Python. Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning
#Python
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Investment Management with Python and Machine Learning
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Deep Learning with Python: Neural Networks (complete tutorial)
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Deep Learning with Python: Neural Networks (complete tutorial)
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Logistic Regression from First Principles in Python
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How to Split and Sample a Dataset in BigQuery Using SQL
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Calculus for Data Science
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Bayesian Statistics Overview and your first Bayesian Linear Regression Model
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A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment
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NoSQL, Big Data, and Spark Foundations
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Complete Machine Learning pipeline for NLP tasks
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All Machine Learning Algorithms You Should Know in 2022
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Logistic Regression from First Principles in Python
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18 Data Science Project Ideas for Beginners
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Considerations for Deploying Machine Learning Models in Production
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Logistic Regression from First Principles in Python
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Introduction to Computer Science and Programming
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Considerations for Deploying Machine Learning Models in Production
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10
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Automate Microsoft Excel and Word Using Python
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8
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K-Means Clustering - An Explorable Explainer
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7
29
Considerations for Deploying Machine Learning Models in Production
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11
29
Considerations for Deploying Machine Learning Models in Production
0
9
28
Git and GitHub basics for Data Scientists
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4
27
Automated Feature Engineering in Python
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8
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Meta Data Analyst Professional Certificate
📊 Introduction to Data Analytics
💻 Data Analysis with Spreadsheets and SQL
🐍 Python Data Analytics
📈 Statistics for Marketing
🗃️ Introduction to Data Management
1
13
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