Analytics, Machine Learning & NLP in Python
Learn the fundamentals of Natural Language Processing and how to apply Machine Learning in Python to solve NLP problems
Designed for professionals and enthusiasts, this course offers a multifaceted approach to data analysis, predictive modeling, and language processing using the Python programming language.
What You Will Learn:
- Data Analytics with Python:
- Develop a solid foundation in data analytics using Python.
- Explore data exploration, cleaning, and visualization techniques to derive actionable insights.
- Machine Learning Fundamentals:
- Gain a comprehensive understanding of machine learning concepts and algorithms.
- Explore supervised and unsupervised learning, regression, classification, and clustering.
- Natural Language Processing (NLP) Basics:
- Dive into the fundamentals of NLP, understanding text processing, tokenization, and sentiment analysis.
- Learn how to preprocess and analyze textual data for various applications.
- Predictive Modeling with Python:
- Explore predictive modeling techniques, including feature engineering and model evaluation.
- Understand how to build and deploy machine learning models for real-world applications.
- Text Classification and Sentiment Analysis:
- Delve deeper into NLP with a focus on text classification and sentiment analysis.
- Learn how to build models that can categorize and analyze the sentiment of textual content.
- Advanced Machine Learning Techniques:
- Explore advanced machine learning concepts such as ensemble methods, hyperparameter tuning, and model optimization.
- Understand how to improve the performance and robustness of machine learning models.
- Named Entity Recognition (NER) and Text Generation:
- Extend your NLP skills by learning Named Entity Recognition (NER) for extracting entities from text.
- Explore text generation techniques, creating models that can generate coherent and contextually relevant text.
- Real-world Projects and Case Studies:
- Apply your knowledge through hands-on projects and real-world case studies.
- Gain practical experience in solving diverse analytics, machine learning, and NLP challenges.
A well-rounded and engaging learning experience. The instructors provide clear explanations and hands-on exercises that bridge the gap between theory and practical application.
— Sophia
The practical exercises and projects were invaluable in cementing my understanding, and the real-world applications of NLP in text classification and sentiment analysis were particularly insightful. This course strikes the right balance between depth and breadth, making it suitable for both beginners and those looking to expand their expertise.
— Daniel
Your Instructor
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All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.