Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Follow the instructions below:
Once you have finished solving the exercises, be sure to commit your changes, push them to your repository, and go to 4Geeks.com to upload the repository link.
Once you start working on the project, you will see a ./project.ipynb
file containing a list of exercises. Complete each of them, one by one.
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
jupyter notebook
opencv
scikit-learn
ipyleaflet
matplotlib
Pandas
Machine Learning