Hi, thanks for your video. I was under the impression that x variables a highly multi-colinear if the have higher values leading closer to 1 on a heat map. How can diesel and petroleum have multicollinearity in this case when they have the lowest values? Just trying to understand better
never mind I understand now. The reason they are co-linear is that as one value increases, the other decreases.. so with -0.98 score, it's saying as value of petrol increases, the value of diesel decreases since a linear relationship can both be positive or negative. Thanks!
Hi, is part three coming soon?!
Your videos are so informative and easy to follow. Thank you for all your help!
Hi, Is it okay to remove outliers in a timeseries dataset. Because removing any values would affect the continuity of the dataset.
Thanks for the session brother 🙏
My pleasure!
Bro could you please publish the next video how to reduce errors
Hi, thanks for your video. I was under the impression that x variables a highly multi-colinear if the have higher values leading closer to 1 on a heat map. How can diesel and petroleum have multicollinearity in this case when they have the lowest values? Just trying to understand better
never mind I understand now. The reason they are co-linear is that as one value increases, the other decreases.. so with -0.98 score, it's saying as value of petrol increases, the value of diesel decreases since a linear relationship can both be positive or negative. Thanks!
@@ireneanibogwu7242 Hi, Thank you very much for watching my video. That's exactly it. I am glad you got it. All the best !!
If possible please teach UNet based on any examples (practical)
Correlation value take values between -1 and 1.