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   1. Introduction to Project Course.mp4

   2. Background - About the Exoplanets.mp4

   3. Methods to Detect Exoplanets.mp4

   4. Basics of Exoplanets Hunting.html

   1. Understanding the Dataset.mp4

   2. Getting into the Dataset.mp4

   3. Checking for any Missing Values in the Data.mp4

   4. Decoding the Labels in the Data.mp4

   5. Visualizing Light Curves of Stars with Exoplanets.mp4

   6. Visualizing and Handling the Outliers in the Data.mp4

   7. Understanding the Exoplanets data.html

   1. Understanding KNN Algorithm.mp4

   2. How to choose the value of K in KNN Algorithm!.mp4

   3. Further Discussion on KNN and Implementation.mp4

   4. Splitting the data into Training and Testing Data.mp4

   5. Feature Scaling on the Data.mp4

   6. Training and Testing on the imbalanced Data.mp4

   7. Understanding Machine Learning.html

   1. Handling the Imbalance in the Data.mp4

   2. Training and Testing on the balanced Data.mp4

   3. Optimising the model by choosing the best value of K.mp4

   4. Final Thoughts and Further Steps.mp4

   5. Completing the Project.html

  Bonus Resources.txt