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