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Results for "linear vs logistic regression"
Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model
Coursera Project Network
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Algorithms
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis
Imperial College London
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Biostatistics, Time Series Analysis and Forecasting, Probability Distribution, Predictive Modeling
University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Quantitative Research, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting, Regression Analysis
Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
University of Washington
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Real Time Data, Probability & Statistics, Algorithms
In summary, here are 10 of our most popular linear vs logistic regression courses
- Linear Algebra from Elementary to Advanced:Â Johns Hopkins University
- Logistic Regression with NumPy and Python:Â Coursera Project Network
- Regression Models:Â Johns Hopkins University
- Data Science: Statistics and Machine Learning:Â Johns Hopkins University
- Statistics with SAS:Â SAS
- Statistical Analysis with R for Public Health:Â Imperial College London
- Inferential Statistics:Â University of Amsterdam
- Supervised Machine Learning: Classification:Â IBM
- Linear Algebra for Machine Learning and Data Science:Â DeepLearning.AI
- Statistics Foundations:Â Meta