51839のレビューにより、クライアントは星5個中 Big Data Salespeople 4.86/の評価をしました。
This project is for highly trained machine learning expert and futher details are described below, please if you wanted just bid. 1) Perform exploratory data analysis (EDA), and establish hypotheses of predictive insights you expect to glean from the dataset. 2) Perform data preparation for ML informed by the EDA findings. 3) Develop ML model according to hypotheses of predictive insights you gleaned from the dataset. You are required to evaluate at least 3 ML algorithms and assess associated issues i.e. hyperparameters tuning, performance metrics, model complexity (underfitting/overfitting) etc. Finally, provide a recommendation of the best algorithm for your ML model. 4) Documentation: i) Jupyter-Notebook include all coding and technical report i.e. explanations, justifications, reaso...
Requester: FAS China Marketing Project: Develop two SP modules in IBM system Function: Realize online functions of SP Consolidated Database and SP Mecha Database. Realize input and output data including program’s information, volume, price, sales, commercial. Invoke price and production type from BOM. Connect these two databases with each other, SP Consolidated Database summarize the SP Mecha Data. Connect theses two databases with other internal data(SP21, SP22, 2019-2022 Actual (by product line), 2023 F01-F12(by production type), BG Group(By IHS Code)). Connect theses two databases with other external data(IHS, Gasgoo), input IHS code and Gasgoo code into IBM. Starting date: 2022/12/19 End date: 2022/12/30 Duration: 10 days