Scikit-Learn Courses
Scikit-learn courses can help you learn data preprocessing, model selection, classification techniques, and regression analysis. You can build skills in evaluating model performance, feature engineering, and implementing machine learning pipelines. Many courses introduce tools like Jupyter Notebooks and Python libraries, that support applying these skills in practical projects.
Popular Scikit-Learn Courses and Certifications
Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training
Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Cloud Deployment, Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering
What brings you to Coursera today?
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms
Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Data Presentation, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning, Feature Engineering, Applied Machine Learning, Data Pipelines, Python Programming, Numerical Analysis, Data Analysis
Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling
John Wiley & Sons
Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Image Analysis, AI Personalization, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Machine Learning Software, Model Optimization, Python Programming, Data Preprocessing, Feature Engineering
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Scikit Learn (Machine Learning Library), Computer Vision, Machine Learning, Sampling (Statistics), Continuous Monitoring, Data Collection, Python Programming, Big Data, Data Quality
What brings you to Coursera today?
In summary, here are 10 of our most popular scikit-learn courses
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Scikit-Learn For Machine Learning Classification Problems: Coursera
- Practical Machine Learning on Databricks: Packt
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Machine Learning with Python: IBM
- Learn & Build Machine Learning Models with Python: EDUCBA
- Deep Learning with PyTorch: Coursera
- Data Science with Python: Packt
- Machine Learning For Dummies: John Wiley & Sons
