Everything you need to know to master in Artifical Intelligence
Course Curriculum
Data Science Artifitical Intelligence
Available in
days
days
after you enroll
- Artificial Intelligence Basics (17:11)
- Statistics Basics (12:26)
- Descriptive Statistics (33:00)
- DataScience Lifecycle (28:11)
- Introduction to Python (127:44)
- Numpy (87:57)
- Pandas Part- 4.1 (70:30)
- Pandas Part -4.2 (82:46)
- Machine Learning Basics (36:51)
- Linear Regression (25:20)
- Usecase1 Linear Regression (28:59)
- Usecase2 Linear Regression (27:17)
- Logistic Regression (14:14)
- Logistic Regression Usecase1 (55:43)
- Logistic Regression UseCase2 (23:17)
- Introduction To KNN Algorithm (9:45)
- KNN Usecase -1 (24:20)
- KNN Usecase 2 (17:28)
- Introduction To DecisionTrees And RandomForests Part -1 (11:41)
- Understanding DecisionTrees And RandomForests part -2 (25:16)
- DecisionTrees And RandomForests Part -3 (45:52)
- Cluster Analysis Basics Part -1 (10:44)
- Cluster Analysis Basics Mathematics Part- 2 (6:41)
- Data Visualization with matplotlib Part -1 (55:29)
- Data Visualization with matplotlib Part -2 (23:45)
Frequently Asked QuestionsÂ
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own
Can i share my login with others?
No! Sharing login details with others is strictly prohibited. If detected we will revoke your access to the site without prior notice