linsamtw / kaggle_Bosch_Production_Line_Performance
Kaggle Bosch Production Line Performance, NO.74/top 6% (post competition analysis) 生產線分析、前 6 % ( 賽後分析 )
☆12Updated 2 years ago
Alternatives and similar repositories for kaggle_Bosch_Production_Line_Performance:
Users that are interested in kaggle_Bosch_Production_Line_Performance are comparing it to the libraries listed below
- Kaggle Grupo Bimbo Inventory Demand, NO.156/top 8% (post competition analysis) 庫存需求預測、前 8 % ( 賽後分析 )☆13Updated 2 years ago
- Python深度學習實戰- 邁向A.I.的第一步☆32Updated 3 years ago
- Use Neural Network embedding to extract information from high cardinality features to boost your model performance!☆14Updated last year
- ☆126Updated last year
- ☆32Updated 5 years ago
- PyTorch Taipei & NTU CS+X 讀書會☆56Updated 6 years ago
- Python 數據分析與人工智慧課程網頁☆82Updated 5 years ago
- Tbrain舉辦的「玉山人工智慧公開挑戰賽2019夏季賽 - 台灣不動產AI神預測」冠軍隊伍Updated 5 years ago
- FinMind Book☆44Updated 3 weeks ago
- Python crawling tutorial☆62Updated last year
- NCKU 成功大學-Data Mining 資料探勘☆19Updated 2 years ago
- 使用 Jupyter 的零散心得, 練習, 試驗, 還有小小的 projects。☆19Updated 8 years ago
- 這是我在政治大學開設 Deep Learning MOOC 教學的相關檔案。☆143Updated 3 years ago
- algorithms & data-structures Learning Note | 2019_三上_資料結構與演算法課程紀錄☆24Updated 2 months ago
- Learn Serverless for Kubernetes with OpenFaaS☆27Updated 4 years ago
- 應用Google Colaboratory免費GPU資源來完成深度學習卷積神經網路執行影像二元分類☆15Updated 6 years ago
- 這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。☆88Updated 4 years ago
- ☆22Updated 2 years ago
- ☆15Updated 6 years ago
- "Introducing Python" [中譯書名:精通python] By Bill Lubanovic 讀書筆記☆60Updated 7 years ago
- Introduce data science in plain Python. 🧪☆35Updated 2 years ago
- ☆11Updated 5 years ago
- Step by step, Let you learn how to use tensorflow in practical.☆30Updated 2 years ago
- 中華電信2019年10月份pytorch課程☆12Updated 5 years ago
- Machine Learning and Data Science study group starting Sep'2018☆38Updated 6 years ago
- 公開分享檔案暫存區☆20Updated last year
- 金融大數據二部曲, 書名: Python 網頁程式交易APP實作~Web + MySQL + Django. 讀者可以在此下載教學資源含課本範例、程式更新等資訊. 歡迎讀者對本書有任何疑問, 在此討論。☆44Updated 4 years ago
- ☆18Updated 9 years ago
- 2017 IT 邦幫忙鐵人賽☆162Updated 7 years ago
- ☆36Updated 4 years ago