文件名称：ml_challenges：各种ML挑战的解决方案
文件大小：19.1MB
文件格式：ZIP
更新时间：2024-03-05 14:47:12
JupyterNotebook
ml_challenges：各种ML挑战的解决方案
【文件预览】：
ml_challenges-master
----pricehubble.ipynb(2KB)
----tetrel_coding_test.ipynb(11KB)
----OptimizingMind2(1).ipynb(1.01MB)
----MotionTagCodingChallenge - Jiacheng Yao.zip(9.16MB)
----bayes-ds-challenge-v2()
--------.ipynb_checkpoints()
--------bayes_ds_challenge.ipynb(278KB)
----simplyrational()
--------r_fftrees.R(1KB)
--------Presentation_SimplyRational_Jiacheng_Yao.pdf(581KB)
--------r_xgboost.R(1KB)
--------simplyrational.ipynb(4.71MB)
----msd()
--------jiacheng_yao_msd_assignment.ipynb(396KB)
----revolut()
--------config.py(415B)
--------I.c.sql(1KB)
--------I.b.sql(538B)
--------etl.py(2KB)
--------Part II - Jiacheng Yao.ipynb(518KB)
--------jiacheng_yao_ht.zip(2.67MB)
--------I.a.sql(694B)
----dkb()
--------DataScienceChallenge.pdf(3KB)
--------data.csv(612KB)
--------DKB DS Challenge - Jiacheng Yao.ipynb(700KB)
--------requirements.txt(127B)
--------dkb_ds_challenge_jiacheng_yao.zip(1.08MB)
----bayes-ds-challenge-v2.zip(397KB)
----.Rhistory(0B)
----lanalabs()
--------assignment_lanalabs.ipynb(291KB)
--------lanalabs_yao.zip(262KB)
--------assignment_lanalabs(twitter_penguins).ipynb(23KB)
----Job_recommendation_engine.ipynb(406KB)
----heyjobs - coding.ipynb(8KB)
----audatic_code_challenge.ipynb(12KB)
----.gitignore(165B)
----adidas()
--------adidas_case_study.ipynb(1.57MB)
--------adidas_case_study_embedding_label_creater.ipynb(8KB)
--------list_category.txt(374B)
--------list_productgroup.txt(109B)
--------categorical_embedding_tf_train.py(7KB)
--------adidas_case_study (MAPE) - Categorical Embedding Approach.ipynb(311KB)
--------categorical_embedding_tf_model.py(7KB)
--------list_articles.txt(7KB)
--------adidas_case_study (MAPE).ipynb(1.6MB)
--------adidas_case_study (MAPE) - Categorical Embedding Approach (test2).ipynb(375KB)
--------Untitled.ipynb(7KB)
--------model_dir()
--------list_sizes.txt(170B)