To calculate non-linear regression in Python, you can use the scipy.optimize.curve_fit() function. This function takes a non-linear function and a set of data points, and returns the parameters of the function that best fit the data. To use curve_fit(), you first need to define a function that represents your non-linear model. This function should take… Continue reading non-linear regression
The F1-score is a metric used to evaluate the performance of a classification model. It is the harmonic mean of the precision and recall of the model. Precision is the fraction of positive predictions that are actually correct, while recall is the fraction of actual positives that are correctly predicted. The F1-score is a good… Continue reading f1-score in knn
we have a list of vendor-products with vendor discounts, and the historical data that shows each products with how much total discount sold in each vendor and vendor area, we have a limited budget to add on top to vendor discounts to sell the product better. please write a python code to optimize the budget… Continue reading XGBoost to optimize the budget division and maximize the sales for each vendor product
According to 1, data analytics can help improve decision making, marketing effectiveness, customer service and operational efficiency by providing insights into customer behavior, preferences, needs and expectations. Some of the ways to use data analytics in marketing insight are: data analysis can help Qcommerce companies to: some of the companies that use data analysis are:
To set up a proxy on your Mi Router 4C, follow these steps: Note that the exact steps may vary slightly depending on the firmware version of your router.
If the join operation using polars is slow, there are some additional things you can try to improve performance: join_par is a method in Polars that performs a parallel join operation. Here’s how you can use it: The join_par method takes two arguments: the second dataframe to join and the join keys. In the example… Continue reading polars join is so slow
there are algorithms in Python to forecast stock market prices. Some popular algorithms include: It’s important to note that stock market forecasting is a challenging task and there’s no guarantee that any forecasting algorithm will be accurate. The stock market is influenced by numerous factors, including economic indicators, geopolitical events, and market sentiment, which can… Continue reading stock forecasting in python
To connect Microsoft Excel on a Mac to a SQL Server Analysis Services (SSAS) cube, you need to do the following steps: Note: If you are connecting to a SSAS cube for the first time, you may need to install the appropriate drivers for your version of Excel. You can find these drivers from the… Continue reading how to connect MS Excel on MAC to an SSAS cube?
a code to update your resume based on a job description would likely need to be quite complex and specific to your resume format. Additionally, writing a complete resume from scratch based on a job description is not a task that can be automated by a simple script. However, I can give you a simple… Continue reading python code that helps update resume based on job description