Denise Garbato reposted this
Organizational psychologist at Wharton, #1 NYT bestselling author of HIDDEN POTENTIAL and THINK AGAIN, and host of the TED podcasts WorkLife and Re:Thinking
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
I thought this article in the New York Times about ChatGPT quite interesting. It's not very good at anlytical tasks. I have found that to be the case myself. While building a model to predict loan default. It did a very poor job of identifying the features that make sense to be included from a business perspective. A human being needs to do that. https://lnkd.in/ezXZbhnk
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
This is an excellent article for understanding text similarity in Python. https://lnkd.in/eV4wWmvB
Ultimate Guide To Text Similarity With Python - NewsCatcher
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
I’m happy to share that I’m starting a new position as AI Resident at Apziva!
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
I just earned a skill badge for Machine Learning! Who's next? See how you do on a #LinkedInSkillAssessment. # #machinelearning
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
Useful to prepare for SQL interview questions. #SQL #interview
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
Check this out to speed up your EDA. https://lnkd.in/dXtGwiVE
Exploratory Data Analysis & Data Visualization in less than 10minutes
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
I would just like to share that for understanding machine learning, the book "An Introduction to Statistical Learning, with Applications in R " is a great resource even if Python is what you use. I use Python for machine learning. There is course on edx which you can audit for free called Statistical Learning. Most of the lectures are also on YouTube https://lnkd.in/eYn-sfGR #machinelearning #python The pdf of the book is available at https://lnkd.in/eXTwv5-F
An Introduction to Statistical Learning
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Data Scientist and Analyst | Machine Learning | Data Analysis | Data Visualization | Python | Logistic Regression | Multiple Linear Regression | Gradient Boosting | Random Forest | Natural Language Processing
A quick way to clean up column headers in pandas DataFrame. https://lnkd.in/eAQjpzrG
