Description for ML and AI with Python
Advanced Data Science Techniques: Study machine learning models, random forests, and decision trees by examining sample data sets.
Model Training and Prediction: Acquire the knowledge necessary to train machine learning models to anticipate solutions to intricate problems.
Resolving Model Issues and Data Bias: Comprehend the process of identifying data bias and preventing problems such as underfitting and overfitting.
Machine learning libraries in Python: Establish a strong foundation for the use of Python libraries in AI and machine learning, in anticipation of future research.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by HarvardX
Duration: 4�5 hours per week approx 6 weeks
Schedule: Flexible
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