riversongs Posted April 5 Report Share Posted April 5 Free Download Hate Speech Detection Using Machine Learning ProjectPublished 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 212.95 MB | Duration: 0h 35mComplete Hate Speech Detection Using Machine Learning ProjectWhat you'll learnUnderstand the importance of feature selection in hate speech detection.Fine-tune the decision tree classifier model by adjusting hyperparameters to improve performance.Understand the importance of feature selection in hate speech detection.Implement a decision tree classifier model using popular Python libraries such as scikit-learn.RequirementsBasic knowledge of Python programming and machine learning concepts.Familiarity with popular Python libraries such as pandas, numpy, and scikit-learn.DescriptionCourse Title: Hate Speech Detection Using Machine Learning Project with Decision Tree ClassifierCourse Description:Welcome to the "Hate Speech Detection Using Machine Learning Project with Decision Tree Classifier" course! In this practical project-based course, you'll learn how to build a hate speech detection system using machine learning techniques, with a focus on the decision tree classifier algorithm. Hate speech detection is a critical task in natural language processing (NLP) aimed at identifying and mitigating harmful language in online platforms and social media.What You Will Learn:Introduction to Hate Speech Detection:Understand the importance of hate speech detection in combating online harassment and fostering safer online communities.Learn about the challenges and ethical considerations associated with hate speech detection.Data Collection and Preprocessing:Collect and preprocess text data from various sources, including social media platforms and online forums.Clean and tokenize the text data to prepare it for analysis.Feature Engineering:Extract relevant features from the text data, such as word frequencies, n-grams, and sentiment scores.Understand the importance of feature selection in hate speech detection.Building the Decision Tree Classifier Model:Learn how decision trees work and how they are used for classification tasks.Implement a decision tree classifier model using popular Python libraries such as scikit-learn.Model Training and Evaluation:Split the dataset into training and testing sets and train the decision tree classifier model.Evaluate the model's performance using appropriate evaluation metrics, such as accuracy, precision, recall, and F1-score.Fine-Tuning the Model:Fine-tune the decision tree classifier model by adjusting hyperparameters to improve performance.Explore techniques for handling class imbalance and optimizing model performance.Interpreting Model Results:Interpret the decisions made by the decision tree classifier model and understand how it classifies hate speech.Real-World Applications and Ethical Considerations:Discuss real-world applications of hate speech detection systems and their impact on online communities.Explore ethical considerations related to hate speech detection, including censorship and freedom of speech.Why Enroll:Practical Project Experience: Gain hands-on experience by building a hate speech detection system using machine learning.Skill Development: Develop skills in natural language processing, text classification, and model evaluation.Social Impact: Contribute to creating safer and more inclusive online communities by combating hate speech and toxicity.Enroll now and join the fight against hate speech with machine learning and decision tree classifiers!OverviewSection 1: Introduction To Hate Speech Detection Using Machine Learning ProjectLecture 1 Introduction To CourseLecture 2 Introduction To Machine LearningSection 2: Hate Speech Detection Using Machine Learning ProjectLecture 3 Hate Speech Detection Class 1 : Import PackagesLecture 4 Hate Speech Detection Class 2 : Import DatasetLecture 5 Hate Speech Detection Class 3 : Map ColumnsLecture 6 Hate Speech Detection Class 4 : Split ColumnsSection 3: Hate Speech Detection Using Machine Learning ProjectLecture 7 Hate Speech Detection Class 5 : Clean DatasetLecture 8 Hate Speech Detection Class 6 : Train DatasetLecture 9 Hate Speech Detection Class 7 : Output & ConclusionData enthusiasts interested in natural language processing and text classification.,Social media analysts and community managers aiming to combat hate speech and online harassment.Homepagehttps://www.udemy.com/course/hate-speech-detection-using-machine-learning-project/Download ( Rapidgator )https://rg.to/file/f7190d1bec93d1df79617ec1698eac74/vscll.Hate.Speech.Detection.Using.Machine.Learning.Project.rar.htmlUploadgighttps://uploadgig.com/file/download/e9bae989b124Bb83/vscll.Hate.Speech.Detection.Using.Machine.Learning.Project.rarDownload ( NitroFlare )https://nitroflare.com/view/1788F6548B04B05/vscll.Hate.Speech.Detection.Using.Machine.Learning.Project.rarFikperhttps://fikper.com/BhBT9tdCWD/vscll.Hate.Speech.Detection.Using.Machine.Learning.Project.rar.htmlNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
Recommended Posts
Create an account or sign in to comment
You need to be a member in order to leave a comment
Create an account
Sign up for a new account in our community. It's easy!
Register a new accountSign in
Already have an account? Sign in here.
Sign In Now