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: 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
混合 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Python 程序设计, 数据可视化软件, 统计方法, 概率与统计, 描述性统计, 统计推理, 数据分析, 统计分析, 统计, 箱形图, Matplotlib, 统计可视化, Jupyter, NumPy, 抽样(统计), 探索性数据分析, 柱状图, 数据可视化
初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Python Programming, Classification Algorithms
高级设置 · 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

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
混合 · 课程 · 1-4 周
University of Michigan
您将获得的技能: Python 程序设计, 无监督学习, Scikit-learn (机器学习库), Pandas(Python 软件包), 数据预处理, 自然语言处理, 监督学习, 文本挖掘, 数据操作, 功能工程, 分类算法
中级 · 课程 · 1-4 周

Edureka
您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
中级 · 课程 · 1-4 周

您将获得的技能: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
中级 · 课程 · 1-4 周

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

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周