Scikit-learn 课程
Scikit-learn 课程可以帮助您学习数据预处理、模型选择、分类技术和 Regression 分析。您可以掌握评估模型性能、Feature Engineering 和实施机器学习管道的技能。许多课程都会介绍 Jupyter Notebook 和 Python 库等工具，这些工具支持在实际项目中应用这些技能。
热门 Scikit-learn 课程和认证
状态：新状态：免费试用您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
状态：免费试用您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
状态：免费试用Universidad Austral
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning
您将获得的技能: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
状态：新状态：免费试用您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
状态：免费试用您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
状态：新状态：免费试用Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
状态：预览Yonsei University
您将获得的技能: 数据分析, Java, 数据预处理, 监督学习, 文本挖掘, 自然语言处理, 无监督学习, Machine Learning 方法, 分类算法
状态：新状态：免费试用您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
状态：预览Sungkyunkwan University
您将获得的技能: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics
状态：新状态：预览您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
与 scikit-learn 相关的搜索
总之，以下是 10 最受欢迎的 scikit-learn 课程
- Machine Learning with Python & Statistics: EDUCBA
- Applied Machine Learning with Python: Edureka
- Machine Learning Projects in R with Caret: EDUCBA
- NLP System Architecture and Dev-Ops: Universidad Austral
- Build a Machine Learning Image Classifier with Python: Coursera
- Machine Learning with Python: Case Studies: EDUCBA
- Machine Learning with PySpark: Edureka
- Deep Learning with PyTorch: Coursera
- 文本挖掘与分析实践: Yonsei University
- Machine Learning with R: Build, Analyze & Predict: EDUCBA
