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Course Overview
What will I learn?
Pre requisities
Course Curriculum
25 Lessons
15:02:26 Hours
AI Introduction
1 Lessons
00:17:11 Hours
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Artificial Intelligence Basics
00:17:11
Statistics
2 Lessons
00:45:26 Hours
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Statistics Basics
00:12:26
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Descriptive Statistics
00:33:00
Data Science With Python
5 Lessons
06:37:08 Hours
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DataScience Lifecycle
00:28:11
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Introduction to Python
02:07:44
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Numpy
01:27:57
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Pandas Part 4.1
01:10:30
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Pandas Part 4.2
01:22:46
Building Machine Learning Models
15 Lessons
06:03:27 Hours
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Machine Learning Basics
00:36:51
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Linear Regression
00:25:20
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Usecase1 Linear Regression
00:28:59
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Usecase2 Linear Regression
00:27:16
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Logistic Regression
00:14:14
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Logistic Regression Usecase1
00:55:43
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Logistic Regression UseCase2
00:23:17
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Introduction to KNN Algorithm
00:09:45
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KNN Usecase 1
00:24:20
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KNN Usecase 2
00:17:28
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Introduction to DecisionTrees and RandomForests Part 1
00:11:41
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Understanding DecisionTrees and RandomForests Part 2
00:25:16
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DecisionTrees And RandomForests Part 3
00:45:52
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Cluster Analysis Basics Part 1
00:10:44
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Cluster Analysis Basics Mathematics Part 2
00:06:41
Implementing Statistics with Python
2 Lessons
01:19:14 Hours
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Data Visualization with Matplotlib Part 1
00:55:29
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Data Visualization with Matplotlib Part 2
00:23:45
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