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Predictive Modeling with Python · LearnSpace
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Predictive Modeling with Python

Курс от Edureka
Средний≈ 16.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This Predictive Modeling with Python course provides a practical introduction to statistical analysis and machine learning with Python. You will learn essential machine learning concepts, methods, and algorithms with a strong emphasis on applying them to solve real-world business and data problems. By the end of the course, you will: - Understand different data types used in statistical analysis. - Learn techniques to manage inconsistent data effectively. - Perform hypothesis testing using parametric and non-parametric tests. - Develop exploratory data analysis (EDA) models using statistical and machine learning methods. - Enhance machine learning models through evaluation and optimization techniques. This course is designed for individuals with a foundational knowledge of Python programming and basic statistical concepts. This course is ideal for aspiring data analysts, data scientists, business executives, machine learning engineers, and anyone passionate about data-driven decision-making Throughout the program, you will gain hands-on experience in statistical and predictive modeling and apply your skills to real-world scenarios. Enroll in "Predictive Modeling with Python" today and take your expertise to the next level!

Навыки, которые вы освоите

Data PreprocessingStatistical MethodsPredictive ModelingData ManipulationNumPyStatistical Machine LearningData AnalysisMachine Learning MethodsMachine LearningPredictive AnalyticsStatistical AnalysisPython ProgrammingScikit Learn (Machine Learning Library)AnalyticsBusiness AnalyticsPandas (Python Package)Applied Machine LearningStatistical Modeling

Программа курса

6 модулей · 177 учебных материалов

01Data and Information22 материалов

Data Types in Statistics

Welcome to Predictive Modeling with PythonЧтениеCourse IntroductionВидеоYour Knowledge of Predictive ModelingDIALOGUEData TypesВидео

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Edureka

Преподаватель курса

 Predictive Modeling with Python
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Обучение на Coursera

≈ 16.8 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Categorical DataВидео
Nominal DataВидео
Demonstration of Data Types - Dataset DescriptionВидео
Demonstration of TypesВидео
Introduce YourselfОбсуждение
Practice Quiz : Data Types in StatisticsЗадание

Statistical Analysis

What is Statistics?ВидеоMeasures of Central TendencyВидеоDemonstration of Central TendencyВидеоApplications of Central Tendency in Statistics ЧтениеPractice Quiz : Statistical AnalysisЗадание

Statistical Dispersion

Measures of DispersionВидеоDemonstration: Measures of DispersionВидеоLibraries for Statistical AnalysisЧтениеWhy are measures of dispersion important in understanding datasets?ОбсуждениеPractice Quiz : Statistical DispersionЗадание

Module Wrap-Up and Assessment

Summary of Data and InformationВидеоKnowledge Check : Data and InformationЗадание
02Probability Distribution Function25 материалов

General Probability Distribution

Probability Density and Mass FunctionВидеоCumulative Distribution FunctionВидеоDiscrete ProbabilityВидеоExample of PDF and PMFЧтениеPractice Quiz : General Probability DistributionЗадание

Negative Bernoulli and Geometric Distribution

Negative Bernoulli DistributionВидеоDemonstration of Negative Bernoulli DistributionВидеоGeometric DistributionВидеоDemonstration of Geometric DistributionВидеоImportance of Negative Bernoulli and Geometric DistributionsЧтениеPractice Quiz : Negative Bernoulli and Geometric DistributionЗадание

Poisson and Uniform Distribution

Poisson DistributionВидеоExample of Poisson DistributionВидеоDemonstration of Poisson DistributionВидеоContinuous Probability DistributionВидеоUniform DistributionВидеоContinuous Probability Distribution and Uniform Distribution: Mathematical ExampleЧтение

Exponential and Normal Distribution

Exponential DistributionВидеоDemonstration of Exponential DistributionВидеоNormal DistributionВидеоDemonstration of Normal DistributionВидеоPractice Quiz : Exponential and Normal DistributionЗадание

Module Wrap-Up and Assessment

Summary of Probability Distribution FunctionsВидеоKnowledge Check : Probability Distribution FunctionЗадание
03Inferential Statistics39 материалов

Introduction to Central Limit Theorem

Central Limit TheoremВидеоDemonstration of Central Limit TheoremВидеоDemontration: Conclusion of Central Limit TheoremВидеоCentral Limit Theorem (CLT): Mathematical ExampleЧтениеPractice Quiz : Introduction to Central Limit TheoremЗадание

Statistical Inference Methods

Population and Sample SpaceВидеоParameter and StatisticsВидеоForms of Inferential StatisticsВидеоPoint and Interval EstimationВидеоMaximum LikelihoodВидеоDemonstration Exploring Data ВидеоDemonstration: Drawing Sample Data ВидеоHave any of the you used the above methods in their professional careersОбсуждениеPractice Quiz : Statistical Inference MethodsЗадание

Statistical Hypothesis and Significance Testing

Hypothesis TestingВидеоHypothesis Testing ExampleВидеоStatistical Test ImplementationВидеоOne Tailed and Two Tailed TestВидеоZ - Test and T - TestВидеоPower AnalysisВидео

Parametric and Non Parametric Tests

Chi - Square TestВидеоPearson and Spearman CorrelationВидеоChi square Test DemonstrationВидеоPearson Correlation DemonstrationВидеоSpearman Correlation DemonstrationВидеоANOVAВидео

Module Wrap-Up and Assessment

Summary for Inferential StatisticsВидеоKnowledge Check : Inferential StatisticsЗадание
04Introduction to (Exploratory Data Analysis) EDA37 материалов

Understanding EDA

What is EDA?ВидеоUnivariate Analysis: Data and OutliersВидеоUnivariate Analysis: Kurtosis and Chart TypesВидеоMultivariate AnalysisВидеоMultivariate Analysis: Covariance, Correlation, and AssociationВидеоMultivariate Analysis: Correlation MatrixВидеоMultivariate Analysis: Scatter Plots and HeatMapsВидеоUnderstanding Exploratory Data Analysis (EDA)ЧтениеPractice Quiz : Understanding EDAЗадание

Data Cleaning and Pre-processing

Identifying and Handling Missing DataВидеоSampling MethodsВидеоMean Median Mode ImputationВидеоData Normalization and Standardization ВидеоMethods to Transform DataВидео Univariate, Bivariate and Multivariate ImputationВидео

Feature Engineering and Data Transformation

Introduction to Feature Engineering ВидеоFeature TransformationВидеоEncoding: One Hot EncodingВидеоEncoding: Label EncodingВидеоAutofeat LibraryВидеоDemonstration I: Setting up the ScenarioВидео

Module Wrap-Up and Assessment

Summary for Introduction to EDAВидеоKnowledge Check : Introduction to (Exploratory Data Analysis) EDAЗадание
05Predictive Modeling and Analysis49 материалов

Regression

Introduction to Linear RegressionВидеоAssumptions in Linear RegressionВидеоWorking of Linear RegressionВидеоCost function in Linear RegressionВидеоGradient Descent in Linear RegressionВидеоDemonstration of Linear Regression: Building ModelВидеоDemonstration of Linear Regression: Testing the ModelВидеоLogistic RegressionВидеоCost function in Logistic RegressionВидеоGradient Descent in Logistic RegressionВидеоImportance of Sigmoid FunctionВидеоDemonstration: Logistic Regression - Data ProcessingВидеоDemonstration: Logistic Regression - Model ExecutionВидеоRegularization in RegressionЧтениеPractice Quiz : RegressionЗадание

Classification: Decision Tree and Random Forest

Classification in Machine LearningВидеоDecision Tree Part 1: What is Decision Tree?ВидеоDecision Tree Part 2: What is Random Forest?ВидеоBasic Terminologies of Decision TreeВидеоWorking of Decision TreeВидеоBuilding a Decision TreeВидео

Model Evaluation and Optimization

Performance Metrics for Regression - MAE and MAPE ВидеоPerformance Metrics for Regression - MSE, RMSE, RMSLE and R-squareВидеоConfusion MatrixВидеоROC and AUCВидеоHyperparameter Tuning and OptimizationВидеоModel SelectionВидео

Module Wrap-Up and Assessment

Summary of Predictive ModelsВидеоKnowledge Check : Predictive Modeling and AnalysisЗадание
06Course Wrap-Up and Assessment5 материалов
Reflecting on Predictive Modeling with PythonDIALOGUECourse Summary of Predictive Modeling with PythonВидеоBlack Friday - Sales AnalysisЧтениеKnowledge Check : Predictive Modeling with PythonЗаданиеDescribe Your Learning JourneyОбсуждение
Practice Quiz : Poisson and Uniform DistributionЗадание
Demonstration of Confidence Interval and Margin of Error Видео
Demonstration of Hypothesis TestingВидео
Demonstrating Power AnalysisВидео
Statistical Inference Real World ApplicationsЧтение
Practice Quiz : Statistical Hypothesis and Significance TestingЗадание
Example for One Way ANOVA - Part 1Видео
Example for Two Way ANOVA - Part 2Видео
Demonstration for One way ANOVAВидео
Demonstration for Two way ANOVAВидео
Shapiro-Wilk Test Чтение
Practice Quiz : Parametric and Non Parametric TestsЗадание
Demonstration I: Understanding the DataВидео
Demonstration II: Visualizing and Handling Missing DataВидео
Demonstration III: Scaling and Imputation of DataВидео
Demonstration IV: Train Test SplitВидео
Demonstration V: Stratified K-Fold Cross-ValidationВидео
Demonstration VI: Sampling and EvaluationВидео
Best Practices in Data Pre-processing Чтение
Explain the importance of Data Pre-processingОбсуждение
Practice Quiz : Data Cleaning and Pre-processingЗадание
Demonstration II: Data TransformationВидео
Demonstration III: EncodingВидео
Demonstration IV: AutofeatВидео
Overview of Autofeat libraryЧтение
Practice Quiz : Feature Engineering and Data TransformationЗадание
Advantages and Disadvantages of Decision TreeВидео
Demonstration Part 1: Explaining the ScenarioВидео
Demonstration Part 2: Exploring the DataВидео
Demonstration Part 3: Profiling ReportВидео
Demonstration Part 4: Attrition and Univariate GraphВидео
Demonstration Part 5: Data Pre - processingВидео
Demonstration Part 6: Building Decision TreeВидео
Demonstration Part 7:Tree ClassifierВидео
Demonstration Part 8: Pros and ConsВидео
Random Forest Example Part 1: Ensemble Learning and Bagging Видео
Random Forest Example Part 2: Working of Random ForestВидео
Practice Quiz : Classification: Decision Tree and Random ForestЗадание
Model Evaluation Видео
Bias Variance Trade-off Видео
Cross ValidationВидео
Demonstration I: Grid Search - Analyze the DataВидео
Demonstration II: Grid Search - Building ModelВидео
Optuna: A Powerful Tool for Hyperparameter OptimizationЧтение
Which among the following evaluation metrics are easy to use and fairly accurate?Обсуждение
Practice Quiz : Model Evaluation and OptimizationЗадание