Natural Language Processing – Machine Learning Models in Python
English | Tutorial | Size: 788.8 MB
In this 5 hr course, embark on a journey through the world of Natural Language Processing with a hands-on approach. Dive into text analytics techniques including spam detection, sentiment analysis, text summarization, topic modeling, and advanced latent semantic analysis, all implemented in Python.
What I will be able to do after this course
Learn to build classifiers for spam detection using Naive Bayes in Python.
Understand sentiment analysis and implement it using logistic regression.
Explore text summarization algorithms, including TextRank, through practice.
Master topic modeling techniques like LDA and NMF, and apply them effectively.
Evaluate NLP model performance using metrics such as ROC, AUC, and F1 scores.
Course Instructor(s)
Lazy Programmer is a seasoned machine learning expert with years of experience teaching professionals. With a focus on practical and clear instruction, their courses are designed to strengthen your applied data science skills using hands-on Python coding.
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