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R Ultimate 2024 R for Data Science and Machine Learning
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Course content
Sections:
31
•
Activities:
1
•
Resources:
189
- Announcements
- 001 Course Overview lFdC gitir
- 002 R and RStudio Overview and Installation nIjY gitir
- 003 How to get the code 6G5t gitir
- 005 RStudio Introduction Project Setup QxU7 gitir
- 006 File Formats LN8Q gitir
- 007 Rmarkdown Lab DIAB gitir
- 009 Basic Data Types 101 mpgR gitir
- 010 Basic Data Types Lab S4XH gitir
- 011 Matrices and Arrays Lab ABBM gitir
- 012 Lists iVcG gitir
- 013 Factors iP6W gitir
- 014 Dataframes D5iW gitir
- 015 Strings Lab aAdt gitir
- 016 Datetime DOdf gitir
- 017 Operators a6tr gitir
- 018 Loops 101 7X6b gitir
- 019 Loops Lab ejmN gitir
- 020 Functions 101 s8oC gitir
- 021 Functions Lab Intro mEEB gitir
- 022 Functions Lab Coding 9HMk gitir
- 023 Data Import Lab rmmL gitir
- 024 Data Export Lab Hb53 gitir
- 025 Web Scraping Intro U0S6 gitir
- 026 Web Scraping Lab gat9 gitir
- 027 Piping 101 xtoQ gitir
- 028 Filtering 101 AdsY gitir
- 029 Filtering Lab zP25 gitir
- 032 Data Aggregation 101 Yfea gitir
- 033 Data Aggregation Lab Nfab gitir
- 036 Data Reshaping 101 265L gitir
- 037 Data Reshaping Lab 4vXc gitir
- 040 Set Operations 101 rUDY gitir
- 041 Set Operations Lab ZQNv gitir
- 042 Joining Datasets 101 SdfQ gitir
- 043 Joining Datasets Lab Ek6K gitir
- 044 Visualisation Overview IWdp gitir
- 045 ggplot 101 qIUk gitir
- 046 ggplot Lab gE0r gitir
- 047 plotly Lab Intro wnFk gitir
- 048 plotly Lab Oo63 gitir
- 049 leaflet Lab Intro ev8s gitir
- 050 leaflet Lab EtXl gitir
- 051 dygraphs Lab Intro QI17 gitir
- 052 dygraphs Lab w5KM gitir
- 053 Outlier Detection 101 vsWQ gitir
- 054 Outlier Detection Lab Intro CFHF gitir
- 055 Outlier Detection Lab wrCD gitir
- 058 Missing Data Handling 101 zeV4 gitir
- 059 Missing Data Handling Lab Intro 7sNU gitir
- 060 Missing Data Handling Lab 1 1 m5Sa gitir
- 061 Regular Expressions 101 wp8X gitir
- 062 Regular Expressions Lab IaIJ gitir
- 063 AI 101 e0SP gitir
- 064 Machine Learning 101 6dhR gitir
- 065 Models QErc gitir
- 066 Regression Types 101 yk5z gitir
- 067 Univariate Regression 101 SCN6 gitir
- 068 Univariate Regression Interactive LThP gitir
- 069 Univariate Regression Lab QJpJ gitir
- 070 Univariate Regression Exercise t9da gitir
- 071 Univariate Regression Solution duip gitir
- 072 Polynomial Regression 101 p3iR gitir
- 073 Polynomial Regression Lab m5Rf gitir
- 074 Multivariate Regression 101 X5ig gitir
- 075 Multivariate Regression Lab 4xlM gitir
- 076 Multivariate Regression Exercise 0tHc gitir
- 077 Multivariate Regression Solution BjRU gitir
- 083 Resampling Techniques Lab IeKs gitir
- 078 Underfitting Overfitting 101 WAMW gitir
- 079 Train Validation Test Split 101 Wq13 gitir
- 080 Train Validation Test Split Interactive RLo0 gitir
- 081 Train Validation Test Split Lab 2y2v gitir
- 082 Resampling Techniques 101 aFcs gitir
- 084 Regularization 101 mrCu gitir
- 085 Regularization Lab BrzH gitir
- 086 Confusion Matrix 101 jF8r gitir
- 087 ROC Curve 101 AtNf gitir
- 088 ROC Curve Interactive nZHQ gitir
- 089 ROC Curve Lab Intro EMMb gitir
- 090 ROC Curve Lab 1 3 Data Prep Modeling L5qL gitir
- 091 ROC Curve Lab 2 3 Confusion Matrix and ROC rAlO gitir
- 092 ROC Curve Lab 3 3 ROC AUC Cost Function VubM gitir
- 093 Decision Trees 101 YMNR gitir
- 094 Decision Trees Lab Intro j8Mw gitir
- 095 Decision Trees Lab Coding 9qzG gitir
- 096 Decision Trees Exercise kgfj gitir
- 098 Random Forests 101 6PXw gitir
- 099 Random Forests Interactive opY8 gitir
- 100 Random Forest Lab Intro xUjr gitir
- 101 Random Forest Lab Coding 1 2 3D9R gitir
- 102 Random Forest Lab Coding 2 2 jzAH gitir
- 103 Logistic Regression 101 vYLR gitir
- 104 Logistic Regression Lab Intro Nng2 gitir
- 105 Logistic Regression Lab Coding 1 2 0XpW gitir
- 106 Logistic Regression Lab Coding 2 2 sRex gitir
- 107 Logistic Regression Exercise kX0z gitir
- 109 Support Vector Machines 101 V5Mg gitir
- 110 Support Vector Machines Lab Intro K9aY gitir
- 111 Support Vector Machines Lab Coding 1 2 Z5z1 gitir
- 112 Support Vector Machines Lab Coding 2 2 sMif gitir
- 113 Support Vector Machines Exercise gyic gitir
- 114 Ensemble Models 101 Cf7W gitir
- 115 Association Rules 101 KOdW gitir
- 116 Apriori 101 zaHb gitir
- 117 Apriori Lab Intro G7yx gitir
- 118 Apriori Lab Coding 1 2 4nYk gitir
- 119 Apriori Lab Coding 2 2 l7s1 gitir
- 120 Apriori Exercise omsO gitir
- 121 Apriori Solution o5E6 gitir
- 122 Clustering Overview Hu6X gitir
- 123 kmeans 101 bHf5 gitir
- 124 kmeans Lab YPSl gitir
- 125 kmeans Exercise WRa5 gitir
- 126 kmeans Solution iRQw gitir
- 127 Hierarchical Clustering 101 pKqm gitir
- 128 Hierarchical Clustering Interactive N5MK gitir
- 129 Hierarchical Clustering Lab lfjE gitir
- 130 Dbscan 101 sziJ gitir
- 131 Dbscan Lab 450s gitir
- 132 PCA 101 u3WL gitir
- 133 PCA Lab ybm3 gitir
- 134 PCA Exercise HIJB gitir
- 135 PCA Solution xmNT gitir
- 136 t SNE 101 wsYZ gitir
- 137 t SNE Lab Sphere zZXA gitir
- 138 t SNE Lab Mnist UH9P gitir
- 139 Factor Analysis 101 F7Xu gitir
- 140 Factor Analysis Lab Intro s8Ut gitir
- 141 Factor Analysis Lab Coding 1 2 E1A0 gitir
- 142 Factor Analysis Lab Coding 2 2 Qtlx gitir
- 143 Factor Analysis Exercise XxdY gitir
- 144 Reinforcement Learning 101 W1um gitir
- 145 Upper Confidence Bound 101 CpdT gitir
- 146 Upper Confidence Bound Interactive EsGS gitir
- 147 Upper Confidence Bound Lab Intro YlbC gitir
- 148 Upper Confidence Bound Lab Coding 1 2 8ghD gitir
- 149 Upper Confidence Bound Lab Coding 2 2 2dZI gitir
- 150 Deep Learning General Overview ZQer gitir
- 151 Deep Learning Modeling 101 m1WS gitir
- 152 Performance vlP1 gitir
- 153 From Perceptron to Neural Networks TsB5 gitir
- 154 Layer Types hZLx gitir
- 155 Activation Functions XixI gitir
- 156 Loss Function HIwT gitir
- 157 Optimizer g7LK gitir
- 158 Deep Learning Frameworks IB4M gitir
- 159 Python and Keras Installation KIjm gitir
- 160 Multi Target Regression Lab Intro OhYT gitir
- 161 Multi Target Regression Lab Coding 1 2 2GUC gitir
- 162 Multi Target Regression Lab Coding 2 2 QAcT gitir
- 163 Binary Classification Lab Intro M5hf gitir
- 164 Binary Classification Lab Coding 1 2 1keX gitir
- 165 Binary Classification Lab Coding 2 2 Ikm3 gitir
- 166 Multi Label Classification Lab Intro izxl gitir
- 167 Multi Label Classification Lab Coding 1 3 QgF9 gitir
- 168 Multi Label Classification Lab Coding 2 3 LGFz gitir
- 169 Multi Label Classification Lab Coding 3 3 jHyq gitir
- 170 Convolutional Neural Networks 101 sqxU gitir
- 171 Convolutional Neural Networks Interactive 1jdI gitir
- 172 Convolutional Neural Networks Lab Intro k23U gitir
- 173 Convolutional Neural Networks Lab 1 1 Mb6W gitir
- 174 Convolutional Neural Networks Exercise ozmo gitir
- 176 Semantic Segmentation 101 7eUb gitir
- 177 Semantic Segmentation Lab Intro tYfV gitir
- 178 Semantic Segmentation Lab 1 1 U7rl gitir
- 179 Autoencoders 101 ocPW gitir
- 180 Autoencoders Lab Intro mVIu gitir
- 181 Autoencoders Lab Coding cSRL gitir
- 182 Transfer Learning and Pretrained Models 101 abUH gitir
- 183 Transfer Learning and Pretrained Models Lab Intro r2FP gitir
- 184 Transfer Learning and Pretrained Models Lab 1 1 8q3Z gitir
- 185 Recurrent Neural Networks 101 z4r0 gitir
- 186 LSTM Univariate Multistep Timeseries Prediction Intro jVbZ gitir
- 187 LSTM Univariate Multistep Timeseries Prediction Lab 1 1 rRW1 gitir
- 188 LSTM Multivariate Multistep Timeseries Prediction Intro ECgp gitir
- 189 LSTM Multivariate Multistep Timeseries Prediction Lab 1 1 fapZ gitir
- 190 Shiny Introduction WJhO gitir
- 191 Popular Languages Intro UxM4 gitir
- 192 Popular Languages global R M49i gitir
- 193 Popular Languages ui R PD51 gitir
- 194 Popular Languages server R IKcA gitir
- 195 Reactive Expressions 101 6KV1 gitir
- 196 Popular Languages Reactive Expressions L5yU gitir
- 197 App Deployment Xl4P gitir
- 198 GDP and Life Expectancy Exercise ALWt gitir
- 199 GDP and Life Expectancy Solution Jjth gitir
- 200 Object Oriented Programming 101 2OxU gitir
- 201 Object Oriented Programming Coding EPIe gitir
- 203 Closing Remarks CtNU gitir