Perform Regression using Python Code for Continuous Variables and Logistic Regression for Categorical to predict "Avg_Latency" contributors (uniq_vol))
$10-30 AUD
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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.
ID Projek: #17128595
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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 Lagi
13 pekerja bebas membida secara purata $44 untuk pekerjaan ini
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