Quora Question Pair Similarity Problem using Machine Learning

Quora Question Pair Similarity Problem using Machine Learning

A course by
Srikanth Varma,
Lead DSML Instructor at Scaler

About this Free Quora Question Pair Similarity Problem using Machine Learning Course

Step into a transformative learning experience with our meticulously structured course designed to navigate through the intricacies of real-world problem-solving. From defining business objectives to unraveling data insights and deploying cutting-edge machine learning models, each module is crafted to equip you with the tools and expertise needed to tackle challenges head-on

5
Audio: English
Subtitles: English
Duration
2h 4m (1 Modules)
Course Level
Intermediate
Certificate
Included

What you’ll learn

The skills that you would learn after taking up this Quora Question Pair Similarity Problem using Machine Learning online course are:
  • How to effectively learn from case studies in the course.
  • How to define business/real-world problems.
  • Identifying business objectives and constraints.
  • Understanding train-test splits for model evaluation.
  • Analyzing features and visualizing data using techniques like T-SNE.
  • Implementing TF-IDF weighted Word2Vec featurization for text data.
  • Implementing random models, logistic regression, linear SVM, and XGBoost for classification tasks.
1 Modules | 16 Lessons | 2h 4m
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Certificate for Free Quora Question Pair Similarity Problem using Machine Learning

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Instructor of this course

Srikanth Varma
Srikanth Varma
Lead DSML Instructor at Scaler
Srikanth Varma
Lead DSML Instructor at Scaler
2000+ Students on Scaler Platform
600+ Hours of Lectures Delivered
5 Star Instructor on Scaler
9 Courses
  • Co-Founder & Principal Instructor, Applied AI & AppliedRoots
  • Senior ML Scientist @ Amazon, Palo Alto and Bangalore
  • Co-Founder, Matherix Labs
  • Research Engineer, Yahoo! Labs
  • Masters from IISc Bangalore, Gate 2007(AIR 2)
  • 13 years of experience in AI and Machine Learning

Key Features of this Quora question Pair Similarity Problem

Discover the essentials of tackling the Quora Question Pair Similarity Problem through our comprehensive free course, complete with a certification upon completion. By enrolling, you will:

  • Develop a profound understanding of the Quora Question Pair Similarity Problem fundamentals.
  • Master techniques to identify duplicate or semantically similar question pairs effectively.
  • Explore the intricacies of natural language processing and text similarity measures.
  • Dive into feature engineering, model training, and evaluation specific to question pair similarity.

For additional resources, explore our Quora Question Pair Similarity Problem tutorial.

Pre-requisites for Quora question Pair Similarity Problem

Prior to embarking on this course, familiarity with the following concepts is recommended:

  • Basic understanding of natural language processing (NLP) fundamentals.
  • Proficiency in Python programming language, including libraries such as NumPy, pandas, and scikit-learn.
  • Knowledge of machine learning concepts, including classification and regression.
  • Familiarity with text preprocessing techniques, such as tokenization and stemming.
  • Comfortable working with Jupyter Notebook or similar environments for data analysis and model building.

Who should learn this Quora question Pair Similarity Problem for Beginners?

This course is ideal for beginners who are interested in diving into the world of natural language processing (NLP) and machine learning. It's perfect for:

  • Students or enthusiasts eager to explore the fundamentals of text analysis and machine learning.
  • Professionals transitioning into data science or AI roles who want to build a strong foundation in NLP.
  • Software developers looking to expand their skill set into NLP and enhance their understanding of how machine learning can be applied to text data.
  • Entrepreneurs or business professionals seeking to leverage NLP techniques to extract insights from textual data and enhance decision-making processes.
  • Anyone curious about how machines understand and process human language and interested in the practical applications of NLP in real-world scenarios.

FAQ related to this course