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DTSTART;VALUE=DATE:20260811
DTEND;VALUE=DATE:20260823
DTSTAMP:20260203T093150Z
CREATED:20250821T094218Z
LAST-MODIFIED:20260203T093150Z
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SUMMARY:Machine Learning and Predictive Models
DESCRIPTION:Machine Learning and Predictive Models\nWhy Attend\nPredictive models have become accessible to all users with the advancement of technology. This course offers a complete overview of supervised Machine Learning algorithms\, and their role in the enhancement of predictions in most industries and by most organizations. \nThis course covers all models utilized under different technologies (SAS\, Statistica and SPSS)\, enabling participants to become expert practitioners by evaluating and selecting appropriate solutions with suitable technical packages for their organizations. \n\nCourse Methodology\nThis course includes interactive discussion and the use of exercises and case studies.  Each Machine Learning algorithm is supported by its own case study with step by step outputs that go in parallel with its multi stage analysis. All algorithms are detailed with sequential screen shot applications on comparative technologies such as SPSS\, SAS\, Statistica and Excel. \n\n\nCourse Objectives\nBy the end of the course\, participants will be able to: \n\nUnderstand the true meaning of Machine Learning\nComprehend the key differences between Data Analysis and Machine Learning\nApply testing and validating samples into Machine Learning models\nSubmit an overview of the best analytic solutions\nImplement fine-tuned estimation with complete predictive models\n\n\n\nTarget Audience\nAny level of professional interested in how Machine Learning can assist their organization\, would benefit from this course.  These include professionals from industries including\, but not limited to\, banking\, insurance\, retail\, government\, manufacturing\, healthcare\, telecom\, and airlines. \n\n\nTarget Competencies\n\nPredictive Analysis\nPredictive Models\nData Analysis\nData Analytic Models\n\nOutline\n\n\nData Analysis and Simple Regression\n\n\nIntroduction to Data Analysis Logic\nTesting two groups on their means and proportions\nProfiling two groups in one single chart\nTesting multiple groups on their means and proportions\nProfiling multiple groups in one single chart\nSimple regression\nRegression vs. Correlation\nSensitivity analysis of quantitative variables\n\n\nMultiple and Logistic Regressions\n\n\nIntroduction to Machine Learning\nThe Gradient Descent logic\nMultiple Regression vs. Simple Regression\nVariability analysis for estimations\nDummy variables\nSimilarities and differences between Logistic and Multiple regressions\nSimplifying complex models\nStepwise regression\n\n\nDiscriminant Analysis\n\n\nOptimized Profiling\nTwo-Group Discriminant Function\nAttribution of Cases\nModel Evaluation\nClassification Functions\nMahalanobis Squared Distances\nProbability Method\nModel’s Reduction\nGeneralized Discriminant Analysis\n\n\n\n\n\n\nDecision Trees\n\n\nWhat are Decision Trees?\nBinary Trees\nQuality of a Decision Tree\nRules of pruning\nCART: Classification Tree\nCART: Regression Tree\nCHAID Tree\nRandom Forest Tree\n\n\nNearest Neighbor\, Bayesian\, Neural Network and Deep Learning\n\n\nConditional probabilities\nPrediction by probabilities\nDistance from neighbors\nK nearest distances from neighbors\nWeights in a Neural Network model\nHidden layers role\nNeural Network pros and cons\nDeep Learning\nIntroduction to Big Data\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *		\n			Name Additional Number\n			\n		\n		Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/machine-learning-and-predictive-models-3-2-2/2026-08-11/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Management and Business Intelligence,Data Management and Business Intelligence|Digital Innovation and Transformation
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ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
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