Why are squaring ? Basically apne check kar rahe hai ki jo model ka predicted values hai and jo actual values hai agar hum wo predicted values ko square bhi kardete hai to kitna difference aaraha hai , Agar square karne ke baad bhi kam difference aaraha hai to wo suggest karta hai ki Model acha kaam karha hai but agar hume zyada difference mtlb ki LARGE ERROR aaraha hai to apne kuch galat karahe hai.
Sir please cover this topic Also Thank You sir Wrangling Data: Playing with Scikit-learn, Understanding classes in Scikit-learn, Defining applications for data science, Performing the Hashing Trick, Using hash functions, Demonstrating the hashing trick, Working with deterministic selection, Considering Timing and Performance, Benchmarkin, with,timeit, Working with the memory profiler, Running in Parallel on Multiple Cores, Performing multicore parallelism, Demonstrating multiprocessing. Exploring Data Analysis: The EDA Approach, Defining Descriptive Statistics for Numeric Data, Measuring central tendency,Measuring variance and range ,Working with percentiles, Defining measures of normality, Counting for Categorical Data, Understanding frequencies, Creating contingency tables, Creating Applied Visualization for EDA ,Inspecting boxplots, Performing t-tests after boxplots, Observing parallel coordinates, Graphing distributions, Plotting scatterplots ,Understanding Correlation, Using covariance and correlation, Using nonparametric correlation, Considering the chi-square test for tables ,Modifying Data Distributions, Using different statistical distributions, Creating a Z-score standardization, Transforming other notable distributions.
Why are squaring ? Basically apne check kar rahe hai ki jo model ka predicted values hai and jo actual values hai agar hum wo predicted values ko square bhi kardete hai to kitna difference aaraha hai , Agar square karne ke baad bhi kam difference aaraha hai to wo suggest karta hai ki Model acha kaam karha hai but agar hume zyada difference mtlb ki LARGE ERROR aaraha hai to apne kuch galat karahe hai.
![[Live สด] การออกรางวัลสลากกินแบ่งรัฐบาล งวดวันที่ 16 ธันวาคม 2567](http://i.ytimg.com/vi/dNTiBBthKgQ/mqdefault.jpg)
Great teaching + funny examples = Absolute faculty.
Without 5 minutes Engineering College Life was incomplete ❤❤
sir aap kamal ka visualize karake baat ko dimag ke andar fit kara dete hai .....Bhagwan apki takat ko aur badhade aur logo tak pahunche apki shakti.
wow sir, kitne achhe se samjhaya aapna, thankyou so much !!
Finally i m here as well btw gr8 explanation
Great explanation.... intuitive
Bs Sir iski hi kmi thi 🙂👍👍
Why are squaring ?
Basically apne check kar rahe hai ki jo model ka predicted values hai and jo actual values hai agar hum wo predicted values ko square bhi kardete hai to kitna difference aaraha hai , Agar square karne ke baad bhi kam difference aaraha hai to wo suggest karta hai ki Model acha kaam karha hai but agar hume zyada difference mtlb ki LARGE ERROR aaraha hai to apne kuch galat karahe hai.
Sir homogenus coordination ka part 2 missing hai computer graphics ki playlist se upload kardo sir jaldi se please 🙏🙏🙏🙏
Wow...Good one
Sir make a video on function approximation please 🥺
you did not add this to your ML playlist. plz add this there
Please explain SSIM
Thanks sir
Sir please cover this topic Also
Thank You sir
Wrangling Data:
Playing with Scikit-learn, Understanding classes in Scikit-learn, Defining
applications for data science, Performing the Hashing Trick, Using hash
functions, Demonstrating the hashing trick, Working with deterministic
selection, Considering Timing and Performance, Benchmarkin, with,timeit,
Working with the memory profiler, Running in Parallel on Multiple Cores,
Performing multicore parallelism, Demonstrating multiprocessing.
Exploring Data Analysis:
The EDA Approach, Defining Descriptive Statistics for Numeric Data,
Measuring central tendency,Measuring variance and range ,Working with
percentiles, Defining measures of normality, Counting for Categorical Data,
Understanding frequencies, Creating contingency tables, Creating Applied
Visualization for EDA ,Inspecting boxplots, Performing t-tests after boxplots,
Observing parallel coordinates, Graphing distributions, Plotting scatterplots
,Understanding Correlation, Using covariance and correlation, Using
nonparametric correlation, Considering the chi-square test for tables ,Modifying
Data Distributions, Using different statistical distributions, Creating a Z-score
standardization, Transforming other notable distributions.
Thanx
Bhai tu Khuda Ka Banda hain....
over acting na kia kero itni achi video hoti ha
Apni Baji sey parh ly
Ab itna bta hi diya tha to ye bhi bta dete ki square krte kyu hai?
Why are squaring ?
Basically apne check kar rahe hai ki jo model ka predicted values hai and jo actual values hai agar hum wo predicted values ko square bhi kardete hai to kitna difference aaraha hai , Agar square karne ke baad bhi kam difference aaraha hai to wo suggest karta hai ki Model acha kaam karha hai but agar hume zyada difference mtlb ki LARGE ERROR aaraha hai to apne kuch galat karahe hai.
Bhojpuri thodi casual ho gayi .....
thanks