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。

您将获得的技能: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
混合 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
混合 · 课程 · 1-4 周

Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
初级 · 课程 · 1-4 周

您将获得的技能: 描述性统计, 统计方法, PySpark, 数据预处理, 数据处理, 机器学习算法, 数据存储, 分布式计算, 大数据, 机器学习, 模型评估, 数据存储技术, 应用机器学习, Machine Learning 方法, Apache Spark, 数据科学
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
混合 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: 张力流, 开发环境, Google 云端平台, 深度学习, 脚本, 机器学习, 人工神经网络, 云计算, 监督学习
初级 · 项目 · 不超过 2 小时

您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
中级 · 课程 · 1-4 周

您将获得的技能: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
中级 · 指导项目 · 不超过 2 小时

Universidad Austral
您将获得的技能: Web Scraping, Data Integration, Data Preprocessing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Scripting, Data Import/Export, Hypertext Markup Language (HTML), JavaScript Frameworks
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周