What you'll learn:
- Use ChatGPT for real-life Data Science and Machine Learning Projects
- Let ChatGPT write do the Coding work (Python, Pandas, scikit-learn etc.)
- Use ChatGPT to select the most suitable Machine Learning Model
- Use ChatGPT to analyse and interpret the outcomes of Machine Learning & Statistical Models
- Perform an Explanatory Data Analysis with ChatGPT and Python
- Use ChatGPT for Data Manipulation, Aggregation, advanced Pandas Coding & more
- Use ChatGPT to fit and evaluate Regression and Classification Models
- Use ChatGPT for Multiple Regression Analysis and Hypothesis Testing
- Use ChatGPT for Error Handling and Troubleshooting
- Master Clustering and Unsupervised Learning with ChatGPT
**Updated: Now including the latest models GPT-4o and GPT-4o mini**
Welcome to the first Data Science and Machine Learning course with ChatGPT. Learn how to use ChatGPT to master complex Data Science and Machine Learning real-life projects in no time!
Why is this a game-changing course?
Real-world Data Science and Machine Learning projects require a solid background in advanced statistics and Data Analytics. And it would be best if you were a proficient Python Coder. Do you want to learn how to master complex Data Science projects without the need to study and master all the required basics (which takes dozens if not hundreds of hours)? Then this is the perfect course for you!
What you can do at the end of the course:
At the end of this course, you will know and understand all strategies and techniques to master complex Data Science and Machine Learning projects with the help of ChatGPT! And you don´t have to be a Data Science or Python Coding expert! Use ChatGPT as your assistant and let ChatGPT do the hard work for you! Use ChatGPT for
the theoretical part
Python coding
evaluating and interpreting coding and ML results
This course teaches prompting strategies and techniques and provides dozens of ChatGPT sample prompts to
load, initially inspect, and understand unknown datasets
clean and process raw datasets with Pandas
manipulate, aggregate, and visualize datasets with Pandas and matplotlib
perform an extensive Explanatory Data Analysis (EDA) for complex datasets
use advanced statistics, multiple regression analysis, and hypothesis testing to gain further insights
select the most suitable Machine Learning Model for your prediction tasks (Model Selection)
evaluate and interpret the performance of your Machine Learning models (Performance Evaluation)
optimize your models via handling Class Imbalance, Hyperparameter Tuning & more.
evaluate and interpret the results and findings of your predictions to solve real-world business problems
master regression, classification, and unsupervised learning/clustering projects
We´ll cover prompting strategies and tactics for GPT-3.5 / GPT-4o mini (free) and GPT-4 / GPT-4o (paid subscription). Know the differences and master both!
The course is organized into Do-it-yourself projects with detailed project assignments and supporting materials. At the end, you will find a video sample solution. All solutions and sample prompts are available for simple download or copy/paste!
Who is this Course for?
Data Science Beginners who have no time to learn everything from scratch
Skilled Data Scientists seeking to outsource the most time-consuming parts of their work to save time
Are you ready to be at the forefront of AI in Data Science? Enroll now and start transforming your professional landscape with AI and ChatGPT!
