AED
UAD Dirham
Code: AED
Mentor Based
Python for AI with Scikit-Learn
Mastering AI with Python: Transform Data into Solutions
Early access to the e-LMS platform is included
About This Course
The Advanced Python for AI with Scikit-Learn program is designed for high-level academics and professionals in data science and artificial intelligence. It offers specialized training in Python programming and machine learning, focusing on the powerful capabilities of Scikit-learn for predictive modeling and AI-driven data analysis.
Aim
This program aims to equip PhD scholars and academicians with an in-depth understanding of Python and Scikit-learn as tools for developing advanced AI applications. Participants will master data manipulation, machine learning model development, and algorithm optimization to drive innovation and research in AI.
Program Objectives
- Develop expert-level Python programming skills tailored to AI applications.
- Master the use of Scikit-learn for building and optimizing machine learning models.
- Apply machine learning and AI principles to solve real-world data challenges.
- Understand and implement advanced techniques in natural language processing.
- Lead AI projects and collaborations in academic or industry settings.
Program Structure
- Python Programming for AI
- Advanced Python features and libraries for AI.
- Efficient data structures and algorithms for AI applications.
- Data Handling and Analysis with Pandas and NumPy
- Manipulating and processing data using Pandas.
- Numerical operations for AI with NumPy.
- Machine Learning Foundations with Scikit-Learn
- Supervised learning techniques: Regression and Classification.
- Unsupervised learning techniques: Clustering and Dimensionality Reduction.
- Model Optimization and Evaluation
- Hyperparameter tuning using GridSearchCV and RandomizedSearchCV.
- Performance metrics and model evaluation strategies.
- Ensemble Methods and Advanced Modeling
- Implementing ensemble methods for robust predictions.
- Advanced machine learning models for complex problem-solving.
- Natural Language Processing with Scikit-Learn and NLTK
- Text data preprocessing and feature extraction.
- Building and tuning NLP models for text classification and sentiment analysis.
- Capstone Project
- Applying learned techniques to a real-world AI challenge.
- Collaboration with industry experts and academic peers.
Who Should Enrol?
Designed for individuals with a strong foundation in computer science or related fields, possessing basic programming skills in Python, and looking to specialize in AI applications using Python and Scikit-learn.
Program Outcomes
- Mastery of Python for AI applications.
- Proficient use of Scikit-learn for machine learning models.
- Advanced skills in data analysis and predictive modeling.
- Expertise in NLP and text analytics.
- Capability to lead and innovate in AI-driven projects.
Fee Structure
Discounted: ₹16499 | $207
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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