Introduction to Machine Learning with Scikit-Learn – Free Certification by CodeSignal

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Introduction to Machine Learning with Scikit-Learn – Free Certification by CodeSignal

Master the essentials of machine learning using the powerful Scikit-learn library. This intermediate-level course path takes you from basic model training and data preprocessing all the way to advanced techniques like ensemble learning and hyperparameter tuning—equipping you with real-world ML development skills.

Course Details

• Platform: CodeSignal

• Language: English

• Level: Intermediate

• Certificate: Free Certificate Available

• Ratings: 47 reviews on CodeSignal

• Includes: 7 focused courses built for practical, industry-ready ML development

Syllabus Overview

• Training Your First Machine Learning Model from Scratch
  Learn to build and train your first Linear Regression model using Scikit-learn. Understand the full pipeline—training, evaluating, and making predictions.

• Data Preprocessing for Machine Learning
  Master core preprocessing steps: handling missing values, encoding categorical variables, feature scaling, and dataset splitting for training/testing.

• Diving Deep into Regression
  Go beyond basic regression: explore polynomial regression, ridge, lasso, and elastic net. Learn how regularization techniques improve model generalization.

• Cracking Classification
  Understand classification algorithms like Logistic Regression, Decision Trees, and k-Nearest Neighbors. Learn to evaluate classification performance with accuracy, precision, recall, and F1-score.

• Deep Dive into Regression and Classification Metrics
  Analyze model performance using appropriate metrics: MSE, RMSE, R², and ROC-AUC. Understand when and how to apply these metrics.

• Ensembles in Machine Learning
  Discover ensemble techniques like Bagging, Boosting, and Stacking. Learn how to combine multiple models to improve accuracy and reduce variance.

• Hypertuning and Cross-Validation
  Learn to fine-tune model performance through hyperparameter tuning using Grid Search, Random Search, and various cross-validation methods.

Why Join This Course?

• Hands-On with Scikit-Learn – Learn the most used ML library in industry

• Build and Evaluate Real Models – Train, test, and fine-tune regression and classification models

• Taught with Industry Best Practices – Preprocessing, validation, and optimization made simple

• Free Certificate – Earn a credential that boosts your resume and LinkedIn profile

• Great for Beginners Transitioning to Intermediate – Perfect stepping stone to advanced ML