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Chala baga chepparu sir Thank you 😊

👍 tq so much sir

Tq . Sir

Nice explanation sir

Integrating apply chesthappudu advanced ga 'c' ane constant endhuku rasinaru😇

Today I got this question in the question paper

Super Anna But nuv inka ee topic meeda 3 sums chesi pettandi

Nature of quadratic form chepara

Pairwise orthogonal kakapothya chepandhi sir pls

Sir m1 jntuk chappandi

Make m1 video playlist

super sir,okkate shot lo ardham ayela chepparu.

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Thank you sir

57 like

Nice explanation Keep it up You arw awesome do more videos dont think about views Even one student is benefited by your video is great

Nice explanation you are underated man Keep it up and do more videos for students🎉

Thank you sir🎉❤

Slow ga anna

I have cleared m1,m2 because of you sir thank you sir

Please create videos based on the syllabus mentioned above. It is the new regulation syllabus for R23 JNTUK regulations. If you upload videos, it will definitely be helpful to us. STATISTICAL METHODS FOR DATA SCIENCE UNIT-1: Data Visualization and Distributions Data Visualization Techniques: Introduction to Statistical methods- Exploratory Data Analysis- Charts (Line, Pie, Bar); Plots (Bubble, Scatter); Maps (Heat, Dot Distribution); Diagrams (Trees and Matrices)-Principal Components Analysis Introduction to Data Distributions - Probability Distributions - discrete (binomial, Poisson), Continuous Distributions (Normal, exponential). UNIT-II: Hypothesis Testing Introduction to ParametricEstimation-Parametric Confidence Intervals Choosing a Statistic Hypothesis Testing - Parametric test: the T-test-Applications to Hypothesis Tests-Pairwise comparisons. UNIT-III: Linear Regression and Multiple Regression Regression: Linear Regression, Curvilinear Regression: Exponential Regression- Polynomial Regression-Power Model. Practical Examples The nature of the 'relationship - Multiple Linear Regression Important measurements of the regression estimate - Multiple Regression with Categorical Explanatory Variables - Inference in Multiple Regression - Variable Selection. UNIT -IV: Time Series Time series: Significance of Time series analysis, Components of Time series, Secular trend: Graphic method, Semi-average method, Method of moving averages, Method of least squares: straight line and non-linear trends, Logarithmic methods Exponential trends, Growth curves, Seasonal Variations: Method of simple averages, Ratio-to-trend method, ratio-to-moving average method, Link relative method. (Text book: K.Murugesan, P.Gurusamy, "Probability, Statistics and Random Processes") UNIT-V: Logistic Regression The classification problem - Logistic Regression Setup Interpreting the Results - Comparing Models Classification Using Logistic Regression.

Also Z- test for single proportion and different proportion midha important problems cheyandi

Thank u so much 😊 For making videos I cleared my m1,M2 by ur videos

U are one of the right person to celebrate maths day sirrr❤❤❤❤

Sir jntuh cosm lo ye units easy sir please tell important questions for r22

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Sir 2= 14-12 ela thiskinaru sir

Sir please make more msf videos which will be useful to exam

Same unnai kadha linear conference Inka chines reminder theorem

If one untee??

Sir Solve the system of congruence the moduler an pair wise reactively. Using chinese remainder theorem solve the system of linear congruence E rondu same ah ?

Thankyou sir nice explanation

Me lanti lectures vundadam ma adrustam sir

Sir points unna sums unnai gah sir avi upload cheyara ...plz 😢😢😮

Sir extended Euclid's problem chepandi sir 23/12 exam undhu msf plz sir

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Msf important questions R18 jntuh please

Excellent explain sir

Thank u sir

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Good explanation sir..

Example 14 If the distribution of the weights of all men travelling by air between Delhi and Mumbai has a mean of 163 pounds and a standard deviation of 18 pounds. What is the probability that the consigned gross weight of 36 men travelling between these two cities is more than 6000 pounds. Make a video on this sir😢❤

Greate explanation sir

Sir answer logsec(xy)+log(x by y)=c

Superb explanation sir 👏

Lengend teacher🎉

Sir √p^2-y^2 meeru y^2 place x^2 rasaru

Sir ah gcd chesina work kuda rayala sem exam lo side ki

Nice explanation sir