Online/ e-LMS
Mentor Based
Moderate
6 Weeks
About
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.
Participant’s Eligibility
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
Fee: INR 16,499 USD 207
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- AI Research Scientist
- Senior Data Scientist
- Machine Learning Engineer
- NLP Scientist
- Director of Analytics
- Chief AI Officer
Job Opportunities
- Tech Companies and Startups
- Academic and Research Institutions
- Healthcare and Pharmaceutical Companies
- Financial Services and Banking
- Government Agencies and NGOs
- Consulting and Analytics Firms
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