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Numpy

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"numpy"에 대한 99개의 결과

University of Michigan
Applied Data Science with Python
획득할 기술: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computational Logic, Computer Graphics, Computer Networking, Computer Programming, Data Analysis, Data Mining, Data Visualization, Econometrics, General Statistics, Graph Theory, Graphs, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, Network Analysis, Network Model, Plot (Graphics), Probability & Statistics, Programming Principles, Python Programming, Regression, Scikit-Learn, Statistical Machine Learning, Statistical Programming, Statistical Tests, Theoretical Computer Science
4.5
(32.3k개의 검토)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
Data Science Fundamentals with Python and SQL
획득할 기술: Analysis, Basic Descriptive Statistics, Business Analysis, Computational Logic, Computer Programming, Correlation And Dependence, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Statistical Visualization, Theoretical Computer Science
4.5
(48.9k개의 검토)
Beginner · Specialization · 3-6 Months
Imperial College London
Mathematics for Machine Learning
획득할 기술: Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, Dimensionality Reduction, General Statistics, Lambda Calculus, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science
4.6
(13k개의 검토)
Beginner · Specialization · 3-6 Months
IBM Skills Network
Data Analysis with Python
획득할 기술: Data Analysis, Exploratory Data Analysis, Machine Learning, Data Mining, Mathematical Theory & Analysis, Computer Programming, Correlation And Dependence, Computer Programming Tools, Econometrics, Spreadsheet Software, Python Programming, Probability & Statistics, General Statistics, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Analysis, Linearity, Regression Analysis, Modeling, Algebra, Linear Regression, Business Analysis
4.7
(15.5k개의 검토)
Beginner · Course · 1-3 Months
University of Michigan
Introduction to Data Science in Python
획득할 기술: Mathematics, Computer Programming, Data Analysis, Pandas, Mathematical Theory & Analysis, Python Programming, Probability & Statistics, Statistical Tests, Programming Principles, Theoretical Computer Science, Statistical Programming, Computational Logic, Numpy, Analysis
4.5
(26k개의 검토)
Intermediate · Course · 1-4 Weeks
IBM Skills Network
IBM Data Science
획득할 기술: Algebra, Algorithms, Analysis, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Clustering Algorithms, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Logistic Regression, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Recommender Systems, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science
4.6
(98.6k개의 검토)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Applied Data Science
획득할 기술: Algebra, Algorithms, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Linearity, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Modeling, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science
4.6
(40k개의 검토)
Beginner · Specialization · 3-6 Months
무료
무료
University of London
Foundations of Data Science: K-Means Clustering in Python
획득할 기술: Data Visualization, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Plot (Graphics), Machine Learning, Statistical Analysis, Probability & Statistics, General Statistics, Statistical Programming, Python Programming, Computer Programming, K-Means Clustering, Algorithms, Data Clustering Algorithms, Numpy, Analysis, Business Analysis
4.6
(448개의 검토)
Beginner · Course · 1-3 Months

numpy과(와) 관련된 검색

linear regression with numpy and python

logistic regression with numpy and python

regresión logística con numpy y python

principal component analysis with numpy

statistical analysis using python numpy

python for data analysis: pandas & numpy

logistic regression with python and numpy

analyzing video with opencv and numpy

요약하자면, 여기에 가장 인기 있는 numpy 강좌 10개가 있습니다.

Applied Data Science with Python: University of Michigan
Data Science Fundamentals with Python and SQL: IBM Skills Network
Python for Data Analysis: Pandas & NumPy: Coursera Project Network
Mathematics for Machine Learning: Imperial College London
Data Analysis with Python: IBM Skills Network
Introduction to Data Science in Python: University of Michigan
IBM Data Science: IBM Skills Network
Applied Data Science: IBM Skills Network
Python for Data Science, AI & Development: IBM Skills Network
用Python玩转数据 Data Processing Using Python: Nanjing University