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[udemy] ChatGPT for Data Science and Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 1h 59m ) | Size: 1.34 GB
Beginner and Advanced ChatGPT use Cases - Hypothesis Testing,
Supervised Learning, Naive Bayes, Ethics in AI
What you'll learn
Perform exploratory data analysis (EDA)
Use RegEx
Hypothesis testing
Naive Bayes for sentiment analysis
Movie recommendation engine
Ethics and biases in data and the role of AI
Requirements
Some python and data science knowledge
access to ChatGPT plus
Who this course is for:
Data science professionals looking to advance their skillset
Data analysts looking to transition into data science
Anyone looking to leverage the power of AI and data science
Download
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 1h 59m ) | Size: 1.34 GB
Beginner and Advanced ChatGPT use Cases - Hypothesis Testing,
Supervised Learning, Naive Bayes, Ethics in AI
What you'll learn
Perform exploratory data analysis (EDA)
Use RegEx
Hypothesis testing
Naive Bayes for sentiment analysis
Movie recommendation engine
Ethics and biases in data and the role of AI
Requirements
Some python and data science knowledge
access to ChatGPT plus
Welcome to the ultimate ChatGPT and Python Data Science course—your golden ticket to mastering the art of data science intertwined with the latest AI technology from OpenAI.
This course isn't just a learning journey—it's a transformative experience designed to elevate your skills and empower you with practical knowledge.
With AI's recent evolution, many tasks can be accelerated using models like ChatGPT. We want to share how to leverage AI it for data science tasks.
Embark on a journey that transcends traditional learning paths. Our curriculum is designed to challenge and inspire you through:
Comprehensive Challenges: Tackle 10 concrete data science challenges, culminating in a case study that leverages our unique 365 data to address genuine machine learning problems.
Real-World Applications: From preprocessing with ChatGPT to dissecting a furniture retailer's client database, explore a variety of industries and data types.
Advanced Topics: Delve into retail data analysis, utilize regular expressions for comic book analysis, and develop a ChatGPT-powered movie recommendation system. Engage with such critical topics as AI ethics to combat biases and ensure data privacy.
This course emphasizes practical application over theoretical knowledge, where you will:
Perform dynamic sentiment analysis using a Naïve Bayes algorithm.
Craft nuanced classification reports with our proprietary data.
Gain hands-on experience with real datasets—preparing you to solve complex data science problems confidently.
We’ll be using ChatGPT, Python, and Jupyter Notebook throughout the course, and I’ll link all the datasets, Notebooks for you to play around with on your own.
I'll help you create a ChatGPT profile, but I’ll assume you're adept in Python and somewhat experienced in machine learning.
Are you ready to dive into the future of data science with ChatGPT and Python?
Join us now to unlock the full potential of AI and turn knowledge into action.
Let's embark on this exciting journey together!
This course isn't just a learning journey—it's a transformative experience designed to elevate your skills and empower you with practical knowledge.
With AI's recent evolution, many tasks can be accelerated using models like ChatGPT. We want to share how to leverage AI it for data science tasks.
Embark on a journey that transcends traditional learning paths. Our curriculum is designed to challenge and inspire you through:
Comprehensive Challenges: Tackle 10 concrete data science challenges, culminating in a case study that leverages our unique 365 data to address genuine machine learning problems.
Real-World Applications: From preprocessing with ChatGPT to dissecting a furniture retailer's client database, explore a variety of industries and data types.
Advanced Topics: Delve into retail data analysis, utilize regular expressions for comic book analysis, and develop a ChatGPT-powered movie recommendation system. Engage with such critical topics as AI ethics to combat biases and ensure data privacy.
This course emphasizes practical application over theoretical knowledge, where you will:
Perform dynamic sentiment analysis using a Naïve Bayes algorithm.
Craft nuanced classification reports with our proprietary data.
Gain hands-on experience with real datasets—preparing you to solve complex data science problems confidently.
We’ll be using ChatGPT, Python, and Jupyter Notebook throughout the course, and I’ll link all the datasets, Notebooks for you to play around with on your own.
I'll help you create a ChatGPT profile, but I’ll assume you're adept in Python and somewhat experienced in machine learning.
Are you ready to dive into the future of data science with ChatGPT and Python?
Join us now to unlock the full potential of AI and turn knowledge into action.
Let's embark on this exciting journey together!
Who this course is for:
Data science professionals looking to advance their skillset
Data analysts looking to transition into data science
Anyone looking to leverage the power of AI and data science
Download
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