Data Structures & Algorithms in Python Tutorial | Data Structures in Python | Edureka | Python Live

Data Structures & Algorithms in Python Tutorial | Data Structures in Python | Edureka | Python Live

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This Edureka video on Regular Expressions in Python will help you understand the various fundamental concepts in Python and how they are used in Python programming along with examples.
Topics Covered:
00:00 Introduction
01:42 Data Structures in Python
04:53 User Defined Data Structures
05:14 What are Algorithms
08:25 Elements of a Good Algorithm
09:30 Algorithm Classes
11:08 Tree Traversal Algorithm
15:44 Sorting Algorithms
19:00 Hands On
24:05 Algorithm Analysis
26:55 Searching Algorithms
๐Ÿ“Feel free to comment your doubts in the comment section below, and we will be happy to answer๐Ÿ“

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About Course :
What are the objectives of our Deep Learning Training with TensorFlow Certification?
After completing this Deep Learning Certification Course, you should be able to:

Get yourself introduced and trained with TensorFlow 2.0.
Understand the concept of Single Layer and Multi Layer Perceptron by implementing them in Tensorflow 2.0
Learn about the working of CNN algorithm and classify the image using the trained model
Grasp the concepts on important topics like Transfer Learning, RCNN, Fast RCNN, RoI Pooling, Faster RCNN, and Mask RCNN
Understand the concept of Boltzmann machine and Auto Encoders
Implement Generative Adversarial Network in TensorFlow 2.0
Work on Emotion and Gender Detection project and strengthen your skill on OpenCV and CNN
Understand the concept of RNN, GRU, and LSTM

What are the pre-requisites for this Deep Learning Certification Course?
Required Pre-requisites:

Basic programming knowledge in Python
Concepts about Machine Learning

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Data Structures & Algorithms in Python Tutorial | Data Structures in Python | Edureka | Python Live

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