Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
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
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook
Difficulty
easy
Average duration
3 hrs
Technologies
Data Science
Numpy
Machine Learning
Pandas
matplotlib
opencv
scikit-learn
jupyter notebook