From a dataset of natural gas consumption data from residential consumers, using a Jupyter notebook, explore the data and forecast using linear regression model and support vector regression.
Requirement needed from the dataset:
1)Identify number of houses are included
2)Any malfunctioning meters, if so identify them and the time periods of malfunction.
3) Generate hour reading from raw data, selecting 1 month from the 6 month study interval and plot hourly reading.
4)Intuitively, we expect that gas consumption from different homes to be correlated. For example, many homes would experience higher consumption levels in
the evening when meals are cooked. For each home, find the top five homes with
which it shows the highest correlation
5)Build a model to forecast the hourly readings in
the future (next hour). Can you explain why you may want to forecast the gas
consumption in the future? Who would find this information valuable? What can
you do if you have a good forecasting model?
6)Build a linear regression model to forecast the hourly readings in the future (next
hour). Generate two plots: (i) Time series plot of the actual and predicted hourly
meter readings and (ii) Scatter plot of actual vs predicted meter readings (along
with the line showing how good the fit is).
7) Same as 6 but using support vector regression.
8) Propose and carry out additional
analysis using the dataset given. Please be sure to justify why this additional
analysis is useful and interesting.
16 freelanceria on tarjonnut keskimäärin 22$ tähän työhön
Hello i read your requirement carefully. i am a expert of python language. i can do it perfectly and quicly. please send me your contact. then we can discuss about your project with more closely. thanks.
I have completed my data science course and I am eagerly looking for a new data science project to work upon. I have worked on Linear Regression model and Time series forecasting as is required in this work .
I have been working on this domain for long time and have done various projects and work based on this I can use my experience and complete your work This sort of work I have done a lot
I am quite interested to perfectly run this project since I am skilled data scientist. this project needs to be run by using scikit-learn library in python.