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TRACK, ONGOING/VOLUNTARY BASED PROJECT AND LEARNING.

This Project covers the widespan of steps as follows:

  1. The Project is based on the Behavioral cloning, generating the datas from the Udacity-Self driving Car Simulator(Open Source)
  2. Analysis of the csv file using pandas library, with the particular feauture selection. - Steering angle.
  3. Image Preprocessing - a. image pixels's normalisation.
  4. Training and Validation Split of the data.
  5. Utilisation of the Data Augmentation Techniques to generate more training dataset, so that over model predicts with a better accuracy and drops out the problem of overfitting.
  6. And Furthermore

REFERENCES : {The Complete Self-Driving Car Course - Applied Deep Learning} (https://www.udemy.com/course/applied-deep-learningtm-the-complete-self-driving-car-course/learn/lecture/11375984#overview)

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