Curated learning path for Text Classification & Sentiment. Build practical skills through expert-selected courses.
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Basic probability concepts
Python fundamentals; string manipulation
Follow these courses in order to complete the learning path. Click on any course to enroll.
A week-long training program that provides in-depth knowledge of sentiment analysis techniques driven by AI, with a focus on NLP, machine learning, and deep learning.
A self-paced lab in the Google Cloud console where you learn to create and use document processors with the Document AI API. Skills practiced include API usage, testing tools, and Python programming.
This beginner-level course explores how to use generative AI, specifically ChatGPT, to streamline the process of creating product documentation. It covers setting up AI tools, generating comprehensive product content, and refining the AI-generated documentation to meet specific needs.
Welcome to the Data Science Projects - Data Analysis & Machine Learning course. Data science projects course series is made from the projects that i built for my website and courses. This is not a beginner level course. This course is built for the students who learned python for data science and wants to apply what they learned but don't know where to start or for the ones who wants to practice and test their knowledge. In this course we will be building 4 data science projects which are going to be Regression, Classification, Time-Series and NLP projects. We will be covering Linear Regression, Logistic Regression, K Nearest Neighbors, Support Vector Machines, Decision Tree, Random Forests, ARIMA, Text Classification and Sentiment Analysis as machine learning algorithms in our course. All projects are going to be end to end so it will be easy to follow what we are doing step by step and I will be giving short explanations for the codes that i write. Main motivation of this course is teaching students how to do projects by theirselves. By taking this course you will be experienced in data science projects and you can apply the codes by yourself in order to build yor own project. Building projects is one of the most important ways to get into and learn Data Science. Thanks for reading, if you are interested in Data Science lets meet in the first lesson.
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Curated learning path for Text Classification & Sentiment. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Process and tokenize text data effectively; Build text classification and sentiment analysis models; Implement named entity recognition (NER) systems.
About 8 hours of study across 5 courses — and you can go at your own pace.
It's pitched at beginner level — a solid starting point if you're new to the topic.
5 curated courses, sequenced from foundational to advanced.
Around $118 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.