Machine Learning with Python

Current Status : Ongoing

This is the repository for certification of Machine Learning by IBM on completing this course on coursera.

This consists of a collection of Jupyter notebooks including the ungraded lab items attempted to master core concepts and the final project folder.

🦾Course Outcomes

1. ✨Data cleaning
2. ✨Algorithms like
   • Linear Regression
   • KNN
   • Decision Trees
   • Logistic Regression
   • SVM
3. ✨Evaluation metrics such as
   • Accuracy Score
   • Jaccard Index
   • F1-Score
   • LogLoss
   • Mean Absolute Error, Mean Squared Error
   • R2-Score.