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:

  1. Data Analytics with Python:
    • Develop a solid foundation in data analytics using Python.
    • Explore data exploration, cleaning, and visualization techniques to derive actionable insights.
  2. Machine Learning Fundamentals:
    • Gain a comprehensive understanding of machine learning concepts and algorithms.
    • Explore supervised and unsupervised learning, regression, classification, and clustering.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.


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.


Your Instructor

Yoohoo Academy
Yoohoo Academy

Yoohoo Academy has taught 100,000+ students everything from Lift Style to Fitness Training, Cyber Security, to Ethical Hacking, Facebook Ads, to SEO, Email Marketing, to eCommerce, Business Investing, to Social Media Marketing, to Launching your own Business, Marketing/Ad Agency!

Yoohoo Academy is a Multination company that offers an ever growing range of high-quality online courses that teach using hands-on examples from experts in the field of study and tested research; all backed with high-quality, studio voiceover narrated videos! The emphasis is on teaching real life skills that are essential in today's world.

All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.

Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!