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https://abc.hoola.vn/manage/api/courses/search-course
Search course by keywords of the title.
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"content": "Have a deep understanding of typography, color theory, photos, layout, blocking and other design theory and skills"
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"content": "Create logos and branding packages for potential clients"
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"content": "Understand and learn the essential tools and capabilities of Adobe Photoshop, Illustrator and InDesign"
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"content": "Bạn cần lộ tình IELTS Speaking thiết kế từng ngày - bám sát đến lúc bạn đạt band 6.5+"
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{
"content": "Bạn muốn một phương pháp học mới lạ đan xen ngữ pháp, phát âm, từ vựng uyển chuyển vào nội dung bài giảng"
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{
"content": "Bạn muốn an tâm ôn luyện Song ngữ cùng Chuyên gia và Gv Bản xứ để không lo lắng về: chiến lược trả lời, từ vựng, phát âm, ngữ pháp..."
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{
"content": "Bạn sắp thi IELTS và muốn được thực hành ngay những chủ đề Speaking Hot nhất mùa thi 2018"
},
{
"content": "Bạn cần một bộ công cụ thật tốt giúp bạn tự học tiếng Anh tại nhà tổng hợp đầy đủ “kiến thức cơ bản, bài tập, thực hành, hướng dẫn đến luyện đề"
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"description": "<p>Interested in the field of Machine Learning? Then this course is for you!</p><p>This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.</p><p>We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.</p><p>This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:</p><ul><li>Part 1 - Data Preprocessing</li><li>Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression</li><li>Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification</li><li>Part 4 - Clustering: K-Means, Hierarchical Clustering</li><li>Part 5 - Association Rule Learning: Apriori, Eclat</li><li>Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling</li><li>Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP</li><li>Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks</li><li>Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA</li><li>Part 10 - Model Selection &amp; Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost</li></ul><p>Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.</p><p>And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.</p><p>Important updates (June 2020):</p><ul><li>CODES ALL UP TO DATE</li><li>DEEP LEARNING CODED IN TENSORFLOW 2.0</li><li>TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!</li></ul>",
"headline": "Learn How to Draw People and Character Designs Professionally, Drawing for Animation, Comics, Cartoons, Games and More!",
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// Response Code "05". Token is invalid or has expired.
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Example:
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