| Course Name | Course Fees | Time | Date | Enroll |
|---|---|---|---|---|
| Advanced Data Science | 15000 INR | 7.30 – 9 PM(Mon,Wed,Fri) | April 8 | Enroll Now |
Course Description
This advanced course will level up data science skills for building, deploying and interpreting sophisticated models. Through real-world projects and hands-on assignments, students will master cutting-edge techniques in deep learning, computer vision, time series analysis, production deployment, and more.
Objectives:
- Implement advanced neural network architectures like CNNs, RNNs for deep learning.
- Apply ensemble methods, SVMs, reinforcement learning for machine learning tasks.
- Analyze time series data using forecasting models like ARIMA, Prophet, LSTM.
- Build recommendation systems using techniques like collaborative filtering.
- Interpret and explain complex models using SHAP values, feature importance.
- Perform feature engineering for image, text, tabular data and imbalanced datasets.
- Productionize models using Docker, REST APIs, monitoring and scaling.
- Apply computer vision techniques including CNN architectures and generative models.
Prerequisites:
- Foundational understanding of machine learning and neural networks.
- Experience with Python and common data science libraries.
- Background in mathematics, statistics and algorithms.
Target Audience:
- Data scientists looking to expand their skillset with advanced techniques.
- Machine learning engineers and researchers developing complex models.
- Anyone interested in taking their data science skills to the next level.
