Perform Regression using Python Code for Continuous Variables and Logistic Regression for Categorical to predict "Avg_Latency" contributors (uniq_vol))
$10-30 AUD
Paid on delivery
Would like to understand the relationship between variables and predict "Avg Latency"
Sample Data - [login to view URL]
Dependent Var: avg_latency (Trying to predict)
Independent Vars (Continuous): read_ops, write_ops, other_ops, read_MB, write_MB, read_latency, write_latency, other_latency
Independent Vars (Categorical): Timestamp, uniq_vol
On the time variable, you can convert this to a quantitative variable. If you wanted to look at day of week, you could assign numeric values like Sunday=1, Monday=2, etc. And same for hour, you could use the 24 hour clock to assign a numeric value to each hour to include this as a variable in your model.
On the uniq_vol variable, this is a bit more complicated. Probably the best way (but very time consuming) would be to create a variable for each possible value and then assign 0 or 1 to each of those variables where for each data point, you would give a value of 1 to the uniq_vol category that data point has and then assign 0 to all the other category variables.
Project ID: #17128595
About the project
Awarded to:
IIT Madras graduate, working at a multinational firm with extensive experience in Machine Learning. "[login to view URL]" : Can get my full credentials here, including various ML courses and p More
13 freelancers are bidding on average $44 for this job
Hi... I am a Python and Machine Learning specialist, certified by Freelancer. I fully understand your project and I am sure I can help you. Let's discuss details by chat.
Please check my reviews, and you'll sure know i can do this. I am an expert at R studio and pthon when it comes to analysis. Please do message me
Hey, I will do multiple linear regression for you. It's simple by creating dummy variables for categorical features. Please award me the bid to get the delivery by today. Thanks and regards, Arka
A very young Data scientist(Machine ) ready to work have a more knowledge about supervised learning,statistics,data visualization skills in python.
