{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"Published on June 25, 2023. By Marília Prata, mpwolke.","metadata":{}},{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-06-26T11:30:39.098907Z","iopub.execute_input":"2023-06-26T11:30:39.099278Z","iopub.status.idle":"2023-06-26T11:30:39.140079Z","shell.execute_reply.started":"2023-06-26T11:30:39.099249Z","shell.execute_reply":"2023-06-26T11:30:39.138940Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#Dream Team or Nightmare Team\n\nTeaming up can be a dream if you join people that are commited with the task and mostly have the same level that your knowledge. If someone is on a higher level, the others won't follow the \"rhythm\" and the one with higher abilities may feel that is \"overloaded\" and even being hold back by the team.\n\nIt's important to know how to work as a team since you're going to handle different ideas and skills. Mostly on an universe so diversified with many cultures as Kaggle environment.\n\nThe team should stablish a project, their goals, distribute responsabilities and have a leadership sometimes. \n\nHow to make things work efficiently and productively. I don't have to mention that kagglers have diverse time zones of working too. \n\nDefine how will be their communication. Define each team member's contribution. Delegate. Provide constant feedback.\n\nRespect the members, celebrate your mutual achievements and what you've learned together, find creative ways to solve your issues.\n\nAnd last but not least: TRUST your teammates and don't forget to have FUN!","metadata":{}},{"cell_type":"markdown","source":"![](https://media.makeameme.org/created/teaming-up-to-56806cb63c.jpg)make a meme.org","metadata":{}},{"cell_type":"markdown","source":"#Well-succeeded Teams - GMs are Not afraid to team up\n\n\nTeam up to win (maybe) this competition - By Medial (1st place)\n\n\"I do believe that if someone from the top 10 will put my algorithm, as well, in his ensemble, we will be able together to win prize in this competition. So someone from the top 10, wants to team up ?\"\n\nhttps://www.kaggle.com/competitions/santander-customer-satisfaction/discussion/20402\n\nLast minute team up - By Abhishek\n\nif anyone wants to teamup, pm me.\n\nhttps://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/discussion/51630\n\nTeam up?  - By RobikScube\n\n\"I'm looking to team up. I've let my ranking slip recently as I've only really been focusing on discovering magic features. I'm still digging but wouldn't mind having a teammate to share ideas. Its my first real ML competition so I'd love to learn from someone with more experience than me.\"\n\nI have:\n\nA github repo with a lot of EDA and code\nPipeline I've created to train model and store results/scores - trained hundreds of models so far\nLocal machine with GPU that I can use to train 24/7.\nTried and failed a lot of things - so I know where not to look.\nA strong desire to get a medal in this competition.\nI have 76 submits already. So it's a plus if you've got low submit numbers.\n\nhttps://www.kaggle.com/competitions/santander-customer-transaction-prediction/discussion/87446","metadata":{}},{"cell_type":"markdown","source":"![](https://bakadesuyo.com/wp-content/uploads/2013/10/Team-Building.gif)https://bakadesuyo.com/2013/10/team-building/","metadata":{}},{"cell_type":"markdown","source":"#What can go wrong?\n\nSometimes people have talent but don't know how to communicate. Others did little to get teammates involved or are short on experience (e.g. newbies on competitions). Another point is to have great expectations beyond their possibilities.","metadata":{}},{"cell_type":"markdown","source":"#Ben H. asked below: Why are you interested in leaving a team? \n\nCommitment? Ask that for the other \"team mate\". Not me.\n\n![image.png](attachment:6fa804bb-b896-4096-b8db-c1e277ebf8ed.png)","metadata":{},"attachments":{"6fa804bb-b896-4096-b8db-c1e277ebf8ed.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"#Unsuccessful teaming up.  In other words: When Shit happens.\n\n(LOSING) MY FIRST BRONZE :'(  - By Ferlockx\n\n\"Sartorius Cell Instance Segmentation was one of my first computer vision detection competitions which I participated in seriously. Almost 1 and a half months of efforts of training, trying out different settings and researching new ways to improve my CV, I got to a rank under the ~70s in the last few weeks. I even subscribed to Colab Pro+ in order to gain better compute to handle the large train times warranted by the competition.\"\n\n\"At this stage, being a bit active in the discussions, I was met with 4-5 team merge requests in a short duration. Being very excited to join in with a team and revel in my first \"data science collaboration\", I accepted one of my earliest requests who was an undergrad student at around ~150 rank at the time. Thinking that this person must obviously be a bit more knowledgeable than me I was hopeful to maintain my position. However soon after teaming I realized that this had not been a successful team-up at all.\"\n\nhttps://www.kaggle.com/discussions/general/299225\n\nCAREFUL TEAM UP TO AVOID NON-SERIOUS PEOPLE.\n\n\"Resuming what is said, please, be careful of which person you team up with because it can ruin all work done for 1-2 months. Of course, +/- one silver medal is not might big issue for someone, but we had teammates for those that silver as a first medal could be a very good motivation to continue Kaggling because it's impressive, useful for learning purposes.\"\n\nhttps://www.kaggle.com/competitions/ieee-fraud-detection/discussion/111296\n\nMY TEAMMATE (captain) WAS BANNED AND I CAN'T LEAVE THE TEAM - By Hivanya\n\n\"Can you delete my teammate's account so I can leave the team?\"\n\nhttps://www.kaggle.com/discussions/product-feedback/344446\n\nTEAM MEMBER WANTS TO LEAVE THE TEAM - By Lcipolina\n\n\"Hi all, I am part of a team for a Lyft competition that requires a lot of time. One team member expressed that he wants to leave the team and the competition due to lack of time on his side.\"\n\n\"We would like to replace him with other folks who don't have a team. So the situation is that we currently have people on teams that want to leave us and people without team that want to join us.\"\n\nhttps://www.kaggle.com/discussions/getting-started/190622\n\nMACHINE LEARNING TEAMS - CAN'T CONTACT THE TEAM MEMBERS - By Jordanka\n\n\"I was involved in Machine Learning team but nobody from that team contacted me so far.\nWhen I've tried to reach all people I've got the following message and I am not able to communicate with the team.\"\n\n\"You cannot contact users until you reach the Contributor tier.\"\nhttps://www.kaggle.com/discussions/getting-started/106962\n\nHOW TO LEAVE THE TEAM AND COMPETE ALONE? - By MLaspirant\n\n\"My team has 14 members. None of them are active. We made this group for learning purpose. But I am the only one active in this competition.\"\n\n\"How can I leave the team and compete alone?\"\n\nhttps://www.kaggle.com/competitions/digit-recognizer/discussion/10816\n\n#That was very funny MLaspirant, 14 members and only you are active:D","metadata":{}},{"cell_type":"markdown","source":"![](https://pbs.twimg.com/media/B0-y4zBIcAANYze.png)https://twitter.com/kdnuggets/status/526836370799869952","metadata":{}},{"cell_type":"markdown","source":"Comment by Ccccat - 10 years ago\n\n\"Maybe it should be allowed if person leaving the team will not participate in the competition after that. However if person wants to continue to participate, then joining the team and then leaving it will be equivalent to private information sharing between teams which is not allowed for obvious reason.\"\n\nhttps://www.kaggle.com/discussions/general/1391\n\nMarília Prata: What PRIVATE information??? The Notebooks on this 2023 Kaggle AI Report are ALL PUBLIC!\nThe other part did NOTHING till now. That's Not so Obvious. ","metadata":{}},{"cell_type":"markdown","source":"#That's almost a kafkaesque situation\n\nWhere I worked alone all the time, everything is Public and I'm \"attached\" to an user that did Nothing.\n\n![](https://i.redd.it/v0rddv6u9bd51.jpg)https://www.reddit.com/r/Kafka/comments/hyjxia/kafka_memes_are_a_rarity_that_should_be_treasured/","metadata":{}},{"cell_type":"markdown","source":"#Procedure to leave a team? There's no way to split up a team !\n\nBy Mzsmlmok\n\n\"We know this competitions rule \"up to 4 people\" , but our team accidentally merged the fifth person.\nKindly let we know about the procedure to leave a team. The fifth one was never be involved and will not be involved in the competition.\"\n\nAnswered by Dynamic24\n\n\"There's no way to split up a team once you've made a submission. You can still participate in the contest, but you won't be eligible for a prize.\"\n\nhttps://www.kaggle.com/competitions/widsdatathon2021/discussion/220572","metadata":{}},{"cell_type":"markdown","source":"#Reflect a lot before clicking the button to team up anyone on a Kaggle Competition.\n\n![](https://media.tenor.com/bZxNOFjeDK4AAAAC/baby-groot-vin-diesel.gif)tenor","metadata":{}},{"cell_type":"markdown","source":"#I'm the first mate on this team. In fact, I'm the only mate :) \n\nOnly after 4 years kaggling I learned my teaming up lesson.\n\nMany can be separated: married couples, brothers, lovers, friends. But Not Kaggle Competiton Team Mates.\n\nThere should be exceptions to that rule.","metadata":{}},{"cell_type":"markdown","source":"#Feeling Orphan. The end of an Era on Kaggle. Impermanence is the Essence of Life.\n\nDear Kaggle community,\n\nI'm really feeling sad when I got to know that Ben (Hamner) co-founder of Kaggle \"changed\" his feathers/circle image account colors. Now, after reading a topic I realized that Anthony Goldbloom founder and former Kaggle CEO \"changed\" his feathers/image account colors too (We are all birds). Which mean both are No longer Kaggle staff.\n\nWhen I arrived on Kaggle I had the privilege of receiving a message (e-mail) from Ben mentioning my 1st Dataset and telling me to spread the word on Linkedin and Reddit (where I didn't even had accounts).\n\nThen Anthony (Goldbloom) made a Notebook on my Dataset (Earnings of females and males Employees).\n\nCould you imagine what represents that? It was almost like Larry Page and Sergey Brin interacting with a kaggle novice like me. That is simply priceless and unforgettable!\n\nNo medals, titles, or rankings will ever achieve such greatest moments that I experienced on this platform.\n\nI hope you both are fine and now have plenty of time to practice your Kite-surf. Thank you so much for creating Kaggle!\n\nWe'll miss you a lot A. and B.\n\nThe Alphabet takes it all.\n\nSince nothing stays forever, welcome D.\n\nBest wishes,\nMP.\n\nhttps://www.kaggle.com/discussions/general/378473","metadata":{}},{"cell_type":"markdown","source":"#If they leave Kaggle Team, why can't I leave a Competition team?!!!\n\n![](https://149695847.v2.pressablecdn.com/wp-content/uploads/2022/06/Navy-and-Purple-Abstract-Best-Design-Site-Blog-Banner.jpg)https://analyticsindiamag.com/kaggle-gets-new-ceo-founders-quit-after-a-decade/","metadata":{}},{"cell_type":"markdown","source":"#Rules are made to be broken.","metadata":{}}]}