Jun 13 2023 The Complete Supervised Machine Learning Models In R By Coding School 2023 DrZero LEARNING / e-learning - Tutorials 02:38 0 Published 6/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 7.12 GB | Duration: 13h 54mLearn the Intuition and Math behind Every Model with it's implementation in R Programming Language What you'll learnLearn Complete Supervised Machine Learning Models in RLearn the Math behind every Machine Learning ModelLearn the Intuition of each ModelLearn to choose the best Machine Learning Model for a specific problemRequirementsBasic of any Programming Language is requiredDescriptionIn this course, you are going to learn all types of Supervised Machine Learning Models implemented in R Programming Language. The Math behind every model is very important. Without it, you can never become a Good Data Scientist. That is the reason, I have covered the Math behind every model in the intuition part of each Model.Implementation in R is done in such a way so that not only you learn how to implement a specific Model in R Programming Language but you learn how to build real times models and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate.The Data Part is very important in Training any Machine Learning Model. If the Data Contains Useless Entities, it will take down the Precision Level of your Machine Learning Model. We have covered many techniques of how to make high quality Datasets and remove the useless Entities so that we can get high quality and trustable Machine Learning Model. All this is done in this Course.Hence, by taking this course, you will feel mastered in all types of Supervised Machine Learning Models implemented in R Programming Language.I am looking forward to see you in the course..BestOverviewSection 1: Introduction and Setting up R StudioLecture 1 Introduction to the CourseLecture 2 What is Machine LearningLecture 3 Setting up the IDELecture 4 Data Sets for the CourseSection 2: Simple Linear Regression Statistics - Intuition PartsLecture 5 Simple Linear Regression Statistics 1Lecture 6 Simple Linear Regression Statistics 2Lecture 7 Simple Linear Regression Statistics 3Lecture 8 Data Sets for Simple Linear RegressionSection 3: Simple Linear Regression in R - Implementation PartsLecture 9 Simple Linear Regression in R Part - 1Lecture 10 Simple Linear Regression in R Part - 2Lecture 11 Simple Linear Regression in R Part - 3Lecture 12 Simple Linear Regression in R Part - 4Lecture 13 Simple Linear Regression in R Part - 5Lecture 14 Simple Linear Regression in R Part - 6Section 4: Multiple Linear Regression Statistics - Intuition PartsLecture 15 Multiple Linear Regression Statistics 1Lecture 16 Multiple Linear Regression Statistics 2Lecture 17 Multiple Linear Regression Statistics 3Lecture 18 Multiple Linear Regression Statistics 4Lecture 19 Multiple Linear Regression Statistics 5Lecture 20 Multiple Linear Regression Statistics 6Lecture 21 Data Sets for the Multiple Linear Regression ModelSection 5: Multiple Linear Regression in R - Implementation PartsLecture 22 Multiple Linear Regression in R Part - 1Lecture 23 Multiple Linear Regression in R Part - 2Lecture 24 Multiple Linear Regression in R Part - 3Lecture 25 Multiple Linear Regression in R Part - 4Lecture 26 Multiple Linear Regression in R Part - 5Lecture 27 Multiple Linear Regression in R Part - 6Lecture 28 Multiple Linear Regression in R Part - 7Section 6: Polynomial Regression Statistics - Intuition PartLecture 29 Polynomial Regression StatisticsLecture 30 Data Sets for the Polynomial Regression ModelSection 7: Polynomial Regression in R - Implementation PartsLecture 31 Polynomial Regression in R Part - 1Lecture 32 Polynomial Regression in R Part - 2Lecture 33 Polynomial Regression in R Part - 3Lecture 34 Polynomial Regression in R Part - 4Lecture 35 Polynomial Regression in R Part - 5Section 8: Ridge Regression Statistics - Intuition PartsLecture 36 Ridge Regression Statistics 1Lecture 37 Ridge Regression Statistics 2Lecture 38 Data Sets for Ridge Regression ModelSection 9: Ridge Regression in R - Implementation PartsLecture 39 Ridge Regression in R Part - 1Lecture 40 Ridge Regression in R Part - 2Lecture 41 Ridge Regression in R Part - 3Lecture 42 Ridge Regression in R Part - 4Section 10: Lasso Regression Statistic - Intuition PartLecture 43 Lasso Regression StatisticLecture 44 Data Set for the Lasso Regression ModelSection 11: Lasso Regression in R - Implementation PartsLecture 45 Lasso Regression in R Part - 1Lecture 46 Lasso Regression in R Part - 2Lecture 47 Lasso Regression in R Part - 3Lecture 48 Lasso Regression in R Part - 4Section 12: Elastic Net Regression Statistic - Intuition PartLecture 49 Elastic Net Regression StatisticLecture 50 Data Set for the Elastic Net Regression ModelSection 13: Elastic Net Regression in R - Implementation PartsLecture 51 Elastic Net Regression in R Part - 1Lecture 52 Elastic Net Regression in R Part - 2Lecture 53 Elastic Net Regression in R Part - 3Lecture 54 Elastic Net Regression in R Part - 4Section 14: Decision Tree Regression Statistic - Intuition PartLecture 55 Decision Tree Regression StatisticLecture 56 Data Set#1 for Decision Tree Regression ModelLecture 57 Data Set#2 for Decision Tree Regression ModelSection 15: Decision Tree Regression in R - Implementation PartsLecture 58 Decision Tree Regression in R Part - 1Lecture 59 Decision Tree Regression in R Part - 2Lecture 60 Decision Tree Regression in R Part - 3Lecture 61 Decision Tree Regression in R Part - 4Lecture 62 Decision Tree Regression in R Part - 5Section 16: Random Forest Regression Statistic - Intuition PartLecture 63 Random Forest Regression StatisticLecture 64 Data Set#1 for Random Forest Regression ModelLecture 65 Data Set#2 for Random Forest Regression ModelSection 17: Random Forest Regression in R - Implementation PartLecture 66 Random Forest Regression in R Part - 1Lecture 67 Random Forest Regression in R Part - 2Lecture 68 Random Forest Regression in R Part - 3Lecture 69 Random Forest Regression in R Part - 4Lecture 70 Random Forest Regression in R Part - 5Section 18: Support Vector Regression Statistic - Intuition PartLecture 71 Support Vector Regression StatisticLecture 72 Data Set#1 for SVMLecture 73 Data Set#2 for SVMSection 19: Support Vector Regression in R - Implementation PartLecture 74 Support Vector Regression in R Part - 1Lecture 75 Support Vector Regression in R Part - 2Lecture 76 Support Vector Regression in R Part - 3Lecture 77 Support Vector Regression in R Part - 4Section 20: ++++++++++++++++++ Beginning Classification ++++++++++++++++++Lecture 78 Confusion MatrixLecture 79 Sparse MatrixLecture 80 Data Sets for the Classification ModelsSection 21: Logistic Regression Statistic - Intuition PartLecture 81 Logistic Regression StatisticSection 22: Logistic Regression in R - Implementation PartLecture 82 Logistic Regression in R Part - 1Lecture 83 Logistic Regression in R Part - 2Lecture 84 Logistic Regression in R Part - 3Lecture 85 Logistic Regression in R Part - 4Lecture 86 Logistic Regression in R Part - 5Lecture 87 Logistic Regression in R Part - 6Section 23: Support Vector Classification Statistic - Intuition PartLecture 88 Support Vector Classification StatisticSection 24: Support Vector Classification in R - Implementation PartLecture 89 Support Vector Classification in R Part - 1Lecture 90 Support Vector Classification in R Part - 2Lecture 91 Support Vector Classification in R Part - 3Section 25: K Nearest Neighbour Statistic - Intuition PartLecture 92 K Nearest Neighbour StatisticSection 26: K Nearest Neighbour in R - Implementation PartLecture 93 K Nearest Neighbour in R Part - 1Lecture 94 K Nearest Neighbour in R Part - 2Section 27: Naiive Bayes Classification Statistic - Intuition PartLecture 95 Naiive Bayes Classification Statistics - 1Lecture 96 Naiive Bayes Classification Statistics - 2Section 28: Naiive Bayes Classification in R - Implementation PartLecture 97 Naiive Bayes Classification in R Part - 1Lecture 98 Naiive Bayes Classification in R Part - 2Lecture 99 Naiive Bayes Classification in R Part - 3Lecture 100 Naiive Bayes Classification in R Part - 4Section 29: Decision Tree Classification Statistics - Intuition PartsLecture 101 Decision Tree Classification Statistics 1Lecture 102 Decision Tree Classification Statistics 2Section 30: Decision Tree Classification in R - Implementation PartsLecture 103 Decision Tree Classification in R Part - 1Lecture 104 Decision Tree Classification in R Part - 2Lecture 105 Decision Tree Classification in R Part - 3Lecture 106 Decision Tree Classification in R Part - 4Lecture 107 Decision Tree Classification in R Part - 5Section 31: Random Forest Classification Statistic - Intuition PartLecture 108 Random Forest Classification StatisticSection 32: Random Forest Classification in R - Implementation PartLecture 109 Random Forest Classification in R Part - 1Lecture 110 Random Forest Classification in R Part - 2Lecture 111 Random Forest Classification in R Part - 3Anyone who want to Learn Complete Supervised Machine Learning Models in R,Anyone who want to Learn the Math behind every Machine Learning Model,Anyone who want to Learn the Intuition of each Model,Anyone who want to Learn to choose the best Machine Learning Model for a specific problemBuy Premium Account From My Download Links & Get Fastest Speed.https://1dl.net/k09ai16pdgno/The_Complete_Supervised_Machine_Learning_Models_in_R.part1.rarhttps://1dl.net/f3xpz54yhls1/The_Complete_Supervised_Machine_Learning_Models_in_R.part2.rarhttps://filerice.com/ts3o6fc6ecdp/The_Complete_Supervised_Machine_Learning_Models_in_R.part1.rarhttps://filerice.com/uxxpsdtc3l0v/The_Complete_Supervised_Machine_Learning_Models_in_R.part2.rarhttps://rapidgator.net/file/12f9f9cdabd065913b33a14214108799/The_Complete_Supervised_Machine_Learning_Models_in_R.part1.rar.htmlhttps://rapidgator.net/file/b78a01eb44bc57b2cf137b774d8c5ac2/The_Complete_Supervised_Machine_Learning_Models_in_R.part2.rar.html Related News Python & Data Science with R | Python & R ProgrammingLaravel 10 - 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