筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“scikit learn (machine learning library)” 的结果
- 状态:新状态:预览
您将获得的技能: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:新状态:免费试用
您将获得的技能: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring
- 状态:新状态:预览
O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning
- 状态:新状态:免费试用
您将获得的技能: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy
- 状态:免费试用
您将获得的技能: 机器学习, 预测建模, 回归分析, 无监督学习, 数据转换, 数据管道, 数据处理, Apache Spark, 应用机器学习, PySpark, 生成式人工智能, 摘录, 功能工程, 监督学习, Apache Hadoop
- 状态:新状态:免费试用
您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
- 状态:新状态:免费试用
Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging
- 状态:新状态:免费试用
您将获得的技能: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
- 状态:免费试用
LearnQuest
您将获得的技能: 数据清理, 机器学习, 数据操作, 探索性数据分析, 数据科学, 预测建模, 分类与回归树 (CART), 数据转换, Pandas(Python 软件包), 随机森林算法, 降维, NumPy, 数据处理, 应用机器学习, 生物信息学, 张力流, Scikit-learn (机器学习库), 功能工程, 机器学习算法, Keras(神经网络库)
- 状态:新状态:免费试用
您将获得的技能: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
总之,以下是 10 最受欢迎的 scikit learn (machine learning library) 课程
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
- Generative AI for Developers: Unit 2: Pearson
- Machine Learning on Google Cloud: Google Cloud
- Building a Machine Learning Solution: Coursera
- Machine Learning: O.P. Jindal Global University
- Foundations of Data Science and Machine Learning with Python: Packt
- 使用 Apache Spark 进行机器学习: IBM
- AI with Python: Apply & Implement ML Models: EDUCBA
- Java in Machine Learning: Board Infinity
- PySpark: Apply & Evaluate Predictive ML Models: EDUCBA