scikit-learn Courses and Certifications

TensorFlow Techniques for Model Optimization

Master advanced TensorFlow optimization techniques, from regularization and dropout implementation to callback utilization and Scikit-Learn integration, enhancing model performance and preventing overfitting.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Training Models in AWS with SageMaker Python SDK

Master cloud-based machine learning by setting up AWS environments, uploading data to S3, and launching scalable training jobs with SageMaker Python SDK for advanced ML workflows.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Improving Machine Learning and Deep Learning Models

Master model optimization through hands-on techniques covering evaluation, regularization, hyperparameter tuning, and neural network enhancement with scikit-learn, XGBoost, and PyTorch.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Fixing Classical Models – Diagnosis & Regularization

Discover how to diagnose and fix underperforming ML models through evaluation metrics, regularization techniques, capacity tuning, and early stopping with scikit-learn and XGBoost.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Hypertuning Classical Models

Master systematic hyperparameter optimization techniques using grid search, random search, and cross-validation strategies to transform weak ML baselines into high-performing models.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Credential

Mastering Gradient Boosting with XGBoost & LightGBM

Master gradient boosting techniques using XGBoost, LightGBM, and CatBoost to build, tune, and interpret powerful models for real-world classification problems with hands-on practice.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate
• 3 courses

Credential

Music Player With Smart Recommendations in Python

Build a smart music recommendation system using Python, Pandas, and scikit-learn to analyze track data and generate personalized song suggestions with predictive models.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 4 courses

Data Exploration and Baseline Modeling

Explore data analysis and baseline modeling using Pandas, Scikit-Learn, and LightGBM to preprocess features, visualize insights, and benchmark regression models.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Python Machine Learning Advanced

Master advanced machine learning techniques using Python, including deep learning, ensemble methods, and model optimization for complex real-world applications.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Non-linear Dimensionality Reduction Techniques

1 rating

Master non-linear dimensionality reduction techniques like t-SNE, LLE, and Kernel PCA to uncover hidden patterns in complex datasets through hands-on visualization and parameter tuning.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Python for Data Science and Machine Learning

Dive into Python for data science and machine learning, gaining practical skills in sklearn, Pandas, matplotlib, and numPy to build complex data sets and analyze them for a career in this high-demand field.

• edX
• 14 weeks, 3-4 hours/week
• Self-Paced
• $598.00
• 2 courses

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Credential

More Applied Data Science with Python

19 ratings at Coursera

Master advanced Python data analysis techniques including data mining, clustering, network modeling, and information extraction using real-world datasets and machine learning libraries.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Python for Data Science Bootcamp (Live Online)

749 ratings at CourseHorse

Master the Python programming language and learn advanced techniques for data visualization and machine learning in this data science bootcamp.

• CourseHorse
• Self-Paced
• $1,495.00