├── .gitignore ├── README.md ├── [EN-US] end-to-end-data-science-project.ipynb ├── [PT-BR] end-to-end-data-science-project.ipynb ├── catboost_info ├── catboost_training.json ├── learn │ └── events.out.tfevents ├── learn_error.tsv ├── time_left.tsv └── tmp │ ├── cat_feature_index.6a7c3c9e-b837583d-f6b65577-fefa42fa.tmp │ ├── cat_feature_index.72d6dab5-b779b33f-b9d944dd-36e4b0b5.tmp │ ├── cat_feature_index.d44b723d-f654de83-a2f334-32b7ea1a.tmp │ └── cat_feature_index.eb172158-60f2bcc8-a32d46c4-d9923c32.tmp ├── debug.log ├── logs.log └── model └── enem_predictor.pkl /.gitignore: -------------------------------------------------------------------------------- 1 | *.csv 2 | *.xlsx 3 | *.gpkg 4 | .ipynb_checkpoints -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # A end-to-end data science project 2 | 3 | ![](https://i.imgur.com/eiZeqL3.png) 4 | 5 | Data science is an area that is commonly described as the intersection of statistics/mathematics, computing and knowledge about the domain of the problem to be solved. 6 | Therefore, one of the most interesting ways to have a first contact with the area or to develop a project to put in the personal portfolio is to work with the so-called end-to-end solutions, which cover from the first stages of the pipeline to the final one. 7 |  8 | 9 | So, my name is Wesley Alves and in this kernel, we will take a tour and discuss concepts of the three areas that make up data science and we will also cover the entire pipeline of tasks that are usually carried out in the daily life of a professional. 10 | 11 | 12 | There are several problems that could serve as a basis for building this project. Here, a special was chosen, to take a look, imagine that the CEO of your company come and tell to you the following: 13 | 14 | 15 | > "Hey, I was traveling on the web and find a kind of "brazilian SAT", called ENEM. After read more about it, I was wondering if we can take some insights of the data provided by the test organizers and and perhaps create some solution that will help the students to plan which colleges they want to apply to before they even have the official score. What do you think?" 16 | 17 | 18 | As a person who had long sought an opportunity to explore this area of data and analytics, you accept the "challenge" and decide first to try to better understand the problem. 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188 | 186 947 420 189 | 187 952 415 190 | 188 957 410 191 | 189 962 405 192 | 190 968 400 193 | 191 973 395 194 | 192 978 390 195 | 193 983 385 196 | 194 988 380 197 | 195 993 375 198 | 196 998 370 199 | 197 1004 365 200 | 198 1009 360 201 | 199 1014 354 202 | 200 1019 350 203 | 201 1024 344 204 | 202 1029 339 205 | 203 1035 334 206 | 204 1040 329 207 | 205 1045 324 208 | 206 1050 319 209 | 207 1055 314 210 | 208 1060 309 211 | 209 1065 304 212 | 210 1070 299 213 | 211 1075 294 214 | 212 1080 289 215 | 213 1085 284 216 | 214 1090 279 217 | 215 1096 274 218 | 216 1101 268 219 | 217 1106 263 220 | 218 1111 258 221 | 219 1115 253 222 | 220 1120 248 223 | 221 1125 243 224 | 222 1130 238 225 | 223 1135 233 226 | 224 1140 228 227 | 225 1145 222 228 | 226 1149 217 229 | 227 1154 212 230 | 228 1159 207 231 | 229 1164 202 232 | 230 1169 197 233 | 231 1174 192 234 | 232 1179 187 235 | 233 1184 182 236 | 234 1188 177 237 | 235 1193 171 238 | 236 1198 166 239 | 237 1203 161 240 | 238 1208 156 241 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