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Hemlata Joshi
India
Приєднався 22 тра 2020
Visualization of Binomial Distribution | Nature of Binomial Distribution using R
This video explains the visual representation of the Binomial Distribution with varying values of the parameters and plotting the probability function using R
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Відео
Understanding Binomial Distribution using R | Binomial Distribution-A Practical Guide
Переглядів 557 місяців тому
This videos explains the nature of Binomial Distribution with varying size of the experiment and the number of trials with visualization in R. Also to find the various probabilities of the Binomial Distribution using various functions of R with the help of the real life example.
Difference between Parameter and Statistic| Data Story Telling
Переглядів 122Рік тому
Difference between Parameter and Statistic| Data Story Telling
Concept of Precision and Accuracy| A story on Precision and Accuracy
Переглядів 39Рік тому
Concept of Precision and Accuracy| A story on Precision and Accuracy
Concept of Central Limit Theorem| Concept of CLT with a Story
Переглядів 16Рік тому
Concept of Central Limit Theorem| Concept of CLT with a Story
Data Analysis Using ChatGPT | Data Analysis
Переглядів 138Рік тому
Data Analysis Using ChatGPT | Data Analysis
How to Convert hand written text into a typed word doc
Переглядів 340Рік тому
Convert Hand Written Text into a Typed Word Doc
Linear Regression Model for Non Linear Data with Interpretation| Quadratic Regression
Переглядів 406Рік тому
This video explains, how to fit the best linear regression model for the data having a quadratic relationships between the variables with clear and complete interpretation
Variable/Feature Selection using Forward Selection in R with Interpretation| Linear Regression
Переглядів 757Рік тому
This video explains detailed explanation of the forward selection method used for variable selection/feature selection for a best multiple linear regression modelling
Residual Analysis of Regression Model with Interpretation in R
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This video shows the residual analysis of the regression model. This analysis is done in R with proper interpretation.
Linear Regression with log transformation in R| Log Linear Regression with Log Transformation with R
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This Video shows, how to fit a best linear regression model if there is non linear relationship (logarithmic relationship) between the variables using R?
Simple Random Sampling |Unbiasedness and Sampling Distribution in R
Переглядів 3,6 тис.4 роки тому
Simple Random Sampling |Unbiasedness and Sampling Distribution in R
Stratified Random Sampling and Estimation of Population Parameters in R
Переглядів 4,6 тис.4 роки тому
Stratified Random Sampling and Estimation of Population Parameters in R
Sampling for Proportions Using R | Estimation of Proportions in R with interpretation
Переглядів 2,1 тис.4 роки тому
Sampling for Proportions Using R | Estimation of Proportions in R with interpretation
Multiple Linear Regression with Categorical Independent Variable along with Interpretation using R
Переглядів 20 тис.4 роки тому
Multiple Linear Regression with Categorical Independent Variable along with Interpretation using R
Multiple Linear Regression Model With Interpretation in R | Multi-Variable Regression in R
Переглядів 27 тис.4 роки тому
Multiple Linear Regression Model With Interpretation in R | Multi-Variable Regression in R
Simple Linear Regression with Interpretation using RStudio | Linear Regression Model in R
Переглядів 21 тис.4 роки тому
Simple Linear Regression with Interpretation using RStudio | Linear Regression Model in R
R markdown tutorial | Create a Report Using R markdown in R Studio
Переглядів 6 тис.4 роки тому
R markdown tutorial | Create a Report Using R markdown in R Studio
Thank you for detailed explanation. But, I guess that you should centralized the data in order to get meaningful interpretations, otherwise the intercept terms are meaningless. Weight and age cannot be zero.
Nice explanation Madam
Thank you very much. It was very clear and helpful!
Thanks a lot.
vry nice di
you are incredibly fantastic.
good job hemlata
thank you for the concept
Very nice
Nice
❤
I am 2nd Year CS student from Nepal and i am thinking to build career in Data-science.Can you please Assist me Which path i should do , i am very beginner to all this
sure. r u asking for marsters. u can opt for msc data science
It was great, keep going!
👏👏👏
Nice explanation 👏👏👏
Glad you liked it
Thankyou! It was very helpful.❤
Wow d ☺
Keep it up👍👏
Very nice elaboration for learning R for statistical analysis....Regards, Dr. Vijay Lahri
Can you please make a video on residual plots
sure
Wow, thank you Hemlata...saare doubts clear hogye. Please weighted least square ka bhi bata do.
Thank you so much
Well Explained, Thanks
Thank you. Helpful.
My question is that from where did you or how did you load the tooth data ?
great explanation
Thank you very much! It's all I needed
Thank you!! Amazing explanation.
Please assist with the dataset so i can practice with it here
Hii, your video is very useful.
good tutorial with clear explanation
Mam, does the variables that not significant include to the model?
no..it just increases complexity nothing else. so better not to add insignificant variables
will you be able to do one video using external file please. That will be really appreciated. Thank in advance.
Yes I will
Hi. Is there any way to perform multiple linear regression on raster time series images?
Hi-if I have a character variable, named season having 5 sampling dates, I changed the season to factor using as.factor option like what you did, but It showed in regression output NA for all dates and result for this factor? Do you have suggestion?
Please discuss ANOVA topic in this vdo
Thank you soo much for your hardwork but i want to ask that when I run the code with pairs function it gives me an error such as Error in plot.new() : figure margins too large.How could I solve it?
give par(2,2) it will work
Helpful if you could attach the dataset
Please post vedios on hypothesis testing in r .... Also on ANOVA and ANCOVA ..... TABLE ANALYSIS ETC.
You really have made it so easy for me .thank you ma'am
Thank you very much for the presentation. I would like to know if it is possible for us to do this sampling without separating the stratum (using one or two variable for stratification)? Please also recommend the sampling text book "using R", with more practical examples.
Maam this is multivariate or multiple?
its multiple
Hello ma'am, i need your help urgently on this question, can you yell me how can I reach you
very informative
You're saving my GPA with my current stats course - much thanks!
great
mam, how to get the percentage of error between actual and predicted value..please tell me mam..please
Many small things are not properly explained. Not adviceable for people are are newly learning R programming