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This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
Below are the topics covered in this Data Science Full course tutorial:
00:00:00 Introduction
00:00:45 Agenda
00:02:59 What is Data Science
00:04:31 Data Science Basics
00:07:13 Walmart use cases
00:12:05 Who is a Data Scientist
00:13:47 Role of a Data Scientist
00:15:39 Technologies to learn for a Data scientist
00:44:16 Data Scientist Roadmap
01:00:55 Data Science Salary
01:09:44 Statistics and Probability
01:40:48 Use Case
01:50:43 Confusion matrix
02:00:15 Probability
02:15:56 Bayes Theorem
02:22:22 Inferntial Statistics
02:31:37 Use Case
02:42:20 What is Machine Learning
02:59:23 What is Regression in Machine Learning
03:08:05 Use Case
03:25:53 Logistic Regression
03:32:46 Use case
04:14:25 Decision Tree Algorithm
04:15:01 What is Classification
04:19:12 Types of Classification
04:28:28 What is Decision Tree
04:35:35 Decesion Tree Terminologies
04:59:50 Random Forest
05:03:11 Working of Random Forest
05:04:08 RandomSampling with Replacement
05:12:15 Advantages of Random Forest
05:15:37 Hands-on Random forest
05:27:01 KNN Algorithm
05:29:02 Features of KNN
05:37:17 How Does KNN Algorithm Works
05:42:50 Hands-on KNN Algorithm
05:59:30 Naive Bayes Classifier
06:19:50 Support Vector Machine
06:45:16 K-means clustering Algorithm
07:05:27 Apriori Algorithm
07:21:14 Hands-on
07:35:08 Reinforcement Learning
07:38:25 Reinforcement Learning – Counter strike example
07:56:36 Q Learning
07:57:34 Defining a problem statement
08:01:37 The Bellman Equation
08:19:25 What is Deep Learning
08:23:24 Why do we need Artificial Neuron
08:33:55 WHat is Tensorflow
08:43:50 Tensorflow Code Basics
08:55:45 What is Computational Graph
09:18:18 Limitation of a Single layer perception
09:25:54 Multi-layer Perceptron Use case
09:57:08 Data Scientist Resume
10:02:33 Data Science Interview Question & Answers
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