Random Variables The term random variable is not very descriptive. A better term is measurement function.Consider tossing a fair six-sided die. There are only six outcomes possible, Ω = {1, 2, 3, 4, 5, 6} As we know, if the die is fair, then the probability of each outcome is Read more…
Iris dataset is one of the most easiest and straightforward datasets to use. In Iris dataset, we can represent dataset as a matrix in the following format. Petal length Petal Width Sepal length Sepal width Flower-1 Flower-2 : Flower-n However, more often than not, a dataset also contains labels or Read more…
Measures of central tendency To represent a quick summary of data we use several mathematical methods. These methods usually try to determine where the center of the dataset lie. There are three mathematical measures and they all have their own unique features: Mean Median Mode Mean is simply the average of Read more…
Using the right Graphs are very important for representing the right type of data.We can say Data in statistics is of the following types For reading the details on all the different data types read here. https://towardsdatascience.com/data-types-in-statistics-347e152e8bee For representing categorical data, we use bar charts, pie charts and Read more…
Here is an exploratory data analysis for describing the population trends of hares ,lynxes and carrots in northern Canada during 20 years. Essentially lynxes eat hares and hares eat carrots. Loading Sorry, something went wrong. Reload? Sorry, we cannot display this file. Sorry, this file is invalid so it cannot Read more…
Matplotlib is a very interesting library that helps to plot the different arrays in relation to each other. Loading Sorry, something went wrong. Reload? Sorry, we cannot display this file. Sorry, this file is invalid so it cannot be displayed. Viewer requires iframe. view raw matplotlib_tutorial.ipynb hosted with ❤ by Read more…
Here is part 2 of the numpy tutorial. This is a continuation of part 1 of the numpy tutorial.
Numpy is one of the most important data science libraries. This is part 1 of the numpy tutorial. Loading Sorry, something went wrong. Reload? Sorry, we cannot display this file. Sorry, this file is invalid so it cannot be displayed. Viewer requires iframe. view raw numpy_tutorial_part1.ipynb hosted with ❤ Read more…