Course is very helpful
You should be a member of the community to be able to interact
First, ensure that you’re using the correct class name. It should be LogisticRegression with an uppercase “L” in “Logistic” 1. Make sure there are no typos in your import statement.Verify that your Jupyter Notebook is using the right Python environment. The environment name is displayed in the top right corner. Make sure you’ve imported the necessary libraries. In your Jupyter Notebook, include the following import statement at the beginning: Python from sklearn.linear_model import LogisticRegression Confirm that you have scikit-learn (also known as sklearn) installed. If not, you can install it using: !pip install scikit-learn Sometimes, restarting the Jupyter Notebook kernel can resolve import issues. Try restarting the kernel and re-running your code. Ensure that all dependencies (such as numpy, scipy, etc.) are installed and up-to-date.
i need data analysts who i can discuss projects and issues relating to data analysis. i hope i am welcome
what i liked was the practical examples, clear instructions, and interactive sessions, overall i would recommend this course to anyone intrested in business analysis\.
this is a very good course it helps you understand concepts so well
A very helpful course
It was very helpful
really convenient platform for certificate courses
The Data Analytics course was insightful and well-structured, covering essential topics with a good balance of theory and practical exercises. The hands-on projects helped solidify my skills in tools like Excel, SQL, and Python. The instructors were knowledgeable, and the feedback was valuable. Overall, it significantly boosted my confidence in data analysis, and I highly recommend it!
Good
GOOD
It was very helpful and productive
Amazing
