I need a code for Machine Learning Project
Budget: $30 – $250 USD
The project consists of 3 stages:
1)Data Set collection: AUTOMATICALLY collecting the data for the problem you will solve from a site with a tool such as selenium/beatiful soap etc. (on average, around 500/1000 data is sufficient. You do not need to exceed 1000!). Converting the collected data into Excel. The code used in the collection in this step (you will be asked to run it)
2)Pre-processing of the data and testing the results with at least 7 algorithms: (NOTE: If you do not collect data in the first step, you can use a ready-made data set from Kaggle. However, your 35 points will be gone.) After all the operations such as hoting the data, normalization, cleaning, etc. Then, it is subjected to SEVEN algorithm (train-test) processes and the results are obtained. This should all be done in a jupyter notebook. The best algorithm will be obtained at the end of this step.
3)Servicing the model: The best algorithm will be connected to a web/mobile interface. The workplace can be local or cloud. The software you will use for serving can be streamlite/flask/fastapi etc., there is no limit.
1)Data Set collection: AUTOMATICALLY collecting the data for the problem you will solve from a site with a tool such as selenium/beatiful soap etc. (on average, around 500/1000 data is sufficient. You do not need to exceed 1000!). Converting the collected data into Excel. The code used in the collection in this step (you will be asked to run it)
2)Pre-processing of the data and testing the results with at least 7 algorithms: (NOTE: If you do not collect data in the first step, you can use a ready-made data set from Kaggle. However, your 35 points will be gone.) After all the operations such as hoting the data, normalization, cleaning, etc. Then, it is subjected to SEVEN algorithm (train-test) processes and the results are obtained. This should all be done in a jupyter notebook. The best algorithm will be obtained at the end of this step.
3)Servicing the model: The best algorithm will be connected to a web/mobile interface. The workplace can be local or cloud. The software you will use for serving can be streamlite/flask/fastapi etc., there is no limit.