About KriyaNiti

Welcome to the KriyaNiti Group.
We are learners and we make learners.
We are very passionate about simplifying complex task...
Here we provide basic and needy scripts...
for learning purpose.....
Thankyou for joining us
@KriyaNiti

Comments

Post a Comment

Popular posts from this blog

How to Debug Android TV App using IP

How to Connect Android TV to Your PC Using ADB Normally, we use a USB cable to connect a PC with an Android. Since this is not feasible with Android TVs, manufacturers allow you to  set up ADB wirelessly . To do that: On your Android TV, go to  Settings > Device Preferences > About > Status  and note down the  IP address . Open the command prompt on your PC and enter the command  adb connect <the IP address> . tiny adb on desktop enter ip address You will get a prompt on your Android TV asking you to authorize a connection to the computer. Tap on  OK . To check if you have successfully established the ADB connection to your Android TV, enter the command  adb devices  and see if the device shows up under  List of devices attached . Source:  https://www.makeuseof.com/how-to-use-adb-on-android-tv/
Read more

sales forecasting ML model in retail using the Prophet algorithm from the Facebook Prophet library

sales forecasting ML model in retail using the Prophet algorithm from the Facebook Prophet library: import pandas as pd from fbprophet import Prophet # Load the sales data into a pandas dataframe sales_data = pd.read_csv('sales_data.csv') # Convert the date column to a pandas datetime object sales_data['date'] = pd.to_datetime(sales_data['date']) # Rename the columns to 'ds' and 'y' for Prophet compatibility sales_data = sales_data.rename(columns={'date': 'ds', 'sales': 'y'}) # Create and train the Prophet model model = Prophet() model.fit(sales_data) # Create a future dataframe for the next 30 days future = model.make_future_dataframe(periods=30) # Make sales predictions for the next 30 days sales_predictions = model.predict(future) # Print the sales predictions for the next 30 days print(sales_predictions.tail(30)) In this code, we first load the sales data into a pandas dataframe and convert the date column to a...
Read more