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CodeSignal

Advanced Machine Learning Models for Prediction

via CodeSignal

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Overview

As you become more proficient with regression models, this course will introduce you to more advanced models available in the Scikit-Learn library. Explore popular machine learning algorithms, including Support Vector Machines, decision trees, random forest and neural networks.

Syllabus

  • Unit 1: Mastering Predictive Modeling with SVM in Python
    • Running the SVM Regressor to Predict Housing Prices
    • Switching the SVM Kernel to 'Polynomial'
    • Implement Training and Prediction for SVM Regressor
    • Navigating the SVM Galaxy: Predicting California Housing Prices
  • Unit 2: Understanding and Applying Decision Tree Regression
    • California Dreamin': Predicting House Values with Decision Trees
    • Adjusting Tree Depth for Better Predictions
    • Debugging the Decision Tree Regressor
    • Planting the Decision Tree
    • Building a Decision Tree Regressor from Cosmic Dust
  • Unit 3: Mastering Predictions with Random Forest Classifier in Python
    • Predicting Housing Values with Random Forest Regressor
    • Adjusting the Forest: Tuning the Number of Trees in Random Forest Regressor
    • Random Forest Regressor Code Review
    • Building the Forest for Future Predictions
    • California Dreaming: Implement Your Own Random Forest Regressor
  • Unit 4: Diving into Neural Networks with Python
    • Predicting House Prices with Neural Networks
    • Activating the Network: A Neural Adjustment
    • Neural Network Regression Challenge
    • Adjusting the Neural Network's Hidden Layers
    • Building a Neural Network for Regression from Scratch
  • Unit 5: Balancing Act: Overfitting and Underfitting in Machine Learning Models
    • Exploring Overfitting and Underfitting with SVM in Python
    • Balancing the SVM Regressor: Regularization with 'C'
    • Adjusting Parameter for Model Optimization
    • Tuning the SVM Regressor's Complexity
    • SVM Regressors: Balancing Complexity and Generalization

Reviews

4.3 rating, based on 3 Class Central reviews

Start your review of Advanced Machine Learning Models for Prediction

  • Profile image for KHUSHI KUMARI
    KHUSHI KUMARI
    excellent This course provides a strong understanding of advanced machine learning models used for prediction. The explanations are clear, hands-on examples are practical, and the CodeSignal format makes learning engaging. It helped me improve my problem-solving skills and confidence in applying ML concepts to real-world scenarios. Highly recommended for learners looking to go beyond basics.
  • Profile image for Sarthak Joshi
    Sarthak Joshi
    I have learning so many things excellent course, this is improving my technical skills and experiences and knowledge
  • Vikram Gupta
    I have learning so many things excellent course, this is improving my technical skills and experiences and knowledge
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