Artificial Intelligence
Our AI Course introduces you to the concepts, tools, and applications of Artificial Intelligence. This comprehensive course covers:
Curriculum
- Introduction And Basics
- Operators
- Conditional Statements
- While Loop
- Lists
- Strings
- For Loops
- Functions
- Dictonary
- Tuple
- Set
- 50+ Coding Questions Practice And Assignments
- Data Visualization Using Matplotlib and SeaBorn
- Uni-Variate Analysis
- Bi-Variate Analysis
- Multi-Variate Analysis
- Managing Data Frames with the Dplyr Package
- Control Structures
- Functions
- Lexical/Dynamic Scoping
- Loop Functions
- Debugging
- Data Visualization in R
- Storytelling with Data
- Spatial Analysis
- Other Visualization Concepts
- Statistics And Maths
- Measures And Statistical Difference
- Hypothesis Testing
- Methods Of Imputation
- Encoding
- Feature Scaling
- Handiling With Outliers
- Supervised Learning Regression
- Unsupervised Learning
- Ensemble Models
- Metrics
- Over Sampling And Under Sampling
- Cross Validation
- Hyper parameter Tuning
- Text Processing
- Feature Extraction And Vectorization
- Advanced Techniques And Models
- Libraries And Tools
- Foundational Neural Network Concepts
- Types of Neural Networks
- Neural Network Techniques and Components
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