ML & AI Study Group

P distribution

Relationship between P distribution and Z (standard normal ) distribution

Linear Regression

1. Ordinary least square or Residual Sum of squares (RSS) — Here the cost function is the (y(i) — y(pred))² which is minimized to…

Hypothesis testing : p value method

p value can be interpreted as the probability that the null hypothesis is correct. So higher the…

Hypothesis testing — Critical Value Method

Unlike the inferential statistics, hypothesis testing is about confirming a…

Inferential Statistics

Objective — Find the mean of the population from some samples, within a confidence level and confidence interval.

Steps — 
1. Find the mean of one sample : xbar
2. Find the number of elements in the sample : n
3. Find the standard deviation of the sample : s
4…

Confidence Interval & Confidence Level

I) IDENTIFYING CONFIDENCE LEVEL GIVEN CONFIDENCE INTERVAL

Sampling Distribution

1. Whenever ‘distribution’ word is used, it is generally referred to probability distribution function (PDF). The x-axis of…

Precision and Recall

Imagine there is a class of 18 students, in which 8 students are genius in reality. And 10 students are not genius. Say, we develop a model to classify the students into two labels — “Genius” and “Not Genius”. Now, we would like to evaluate this model. To evaluate any such binary classifiers…

Evaluating a model on overfitting and underfitting

Ofcourse if there is more than one independent variable it is difficult to visualize the underfit or overfit. But then, this can be inferred if you plot the “Learning Curve”.