About Course
📚 Course Overview:
This course offers a complete, hands-on learning experience in Machine Learning and Natural Language Processing (NLP) using Python. Designed for beginners to intermediate learners, the curriculum spans from foundational Python programming to advanced machine learning techniques, statistical modeling, and real-world NLP applications. Learners will engage with structured theory, practical implementation, and a capstone project to solidify their knowledge.
📝 Course Description:
Master the art and science of machine learning and NLP through this in-depth training program. This course begins with Python fundamentals and progresses through essential libraries like NumPy and Pandas, then dives deep into statistics, regression techniques, model evaluation, and powerful machine learning algorithms like Random Forest, XGBoost, and LightGBM. You’ll also explore unsupervised learning and get introduced to NLP using popular tools like Spacy and NLTK. The curriculum includes a hands-on project and real-world case studies to bridge the gap between theory and application.
Who Should Enroll:
Aspiring Data Scientists and Machine Learning Engineers
Software Developers transitioning into AI/ML
Students and professionals seeking a structured entry into ML & NLP
Anyone curious to explore AI through Python-based hands-on learning
Course Content
1. Introduction to Machine Learning
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You Will Learn
2. Python
3. Statistics
4. Statistical Modeling
5) Over fitting vs. under fitting
6)Machine Learning models
7) Project (minimum 3 hours)
8) Unsupervised Machine Learning Algorithms
9) Natural Language Processing (NLP)
Student Ratings & Reviews
