Course Details
Data science with Artificial Intelligence
Unlock Insights where data meets intelligence.Craft tomorrow’s solutions today .
Module 1
- Introduction to programming. Data types, Operators, Conditional
statements. - Data types, Operators, Conditional
statements. - Loops, Functions, Recursion,
lambdas, List Comprehensions. - Classes and Objects, Exception Handling, Modules, Packages.
- String handling, Manipulations
- Numpy, Pandas , Matplotlib and
Seaborn - Project Work with Assesments
Module 2
- Linear Algebra
- Calculus
- Probability
- Discrete Mathematics
- Descriptive and Inferential
statistics. - Central Limit Theorem
- Multivariate and regression
analysis - Experimental Design
- Time Series Analysis
Module 3
- Supervised , Unsupervised
Learning - Algorithms, Mathematical
Intuition - Perceptron, ANN, CNN, RNN
- LSTM, GRU’s, Transformer Model
- Feature Engineering
- Data transformation
- Model Deployment
- Cloud Services
- Generative AI models
Module 4
- CANCER PATIENT DETECTION
USING MACHINE LEARNING - US COST OF LIVING PREDICTION
- MULTI DISEASE CLASSIFICATION
- IMAGE DETECTION
- FACIAL RECOGNITION
- OBJECT DETECTIONS
- SENTIMENT ANALYZER
- ADVANCED CHATBOTS
- TRANSFORMER PROJECTS
- MULTI PURPOSE LLM‘S
Module 5
- Data Cleaning
- Data PreProcessing
- Data Visualization Data Modeling
- DAX (Data Analysis Expressions)
- Power Query
- PivotTables
- Advanced Charting
- Data Validation Dashboard Design
Module 6
- Database Management System
- RDBMS and Non RDBMS
- MySQL, NoSQL, PostGreySQL
- DDL
- DML
- DQL
- DCL
- Schema
- Joins, Nested Joins
- SQL query Optimisation.