Hypothesis Testing using T-test In Statistics
Introduction Hypothesis Testing using T-test
The t-test tells you how significant the differences between groups. It means that it lets you know if those differences...
Hypothesis Testing using Z-test Statistics
Introduction Hypothesis Testing using Z-test
The current situation in pandemic due to coronavirus, all of the record has made a statistician. Now, the government and...
Targeted Advertising using Machine Learning
Introduction Targeted Advertising using Machine Learning
Advertising is a must for creating a brand value. Now, the trend is online advertising which focuses the customer...
Linear Regression Algorithm in Machine Learning
Introduction To Linear Regression Algorithm in Machine Learning
In machine learning, The Linear Regression Algorithm in Machine Learning is a supervised learning technique to approximate...
Null Value Treatment in Python
Introduction Null Value Treatment in Python
While coding in Python, it is very common to assign or initialize variables with string, float, or integer values....
Where Function In NumPy Python
Introduction to Where function in Numpy
Numpy returns the element based on the condition (i.e Logical Condition) Which we are passing into the np.where function.
Syntax...
Sample and Population In Statistics
Introduction To Sample and Population
The study of statistics it around the study of data sets. This article describes two important types of data sets...
GroupBy Function in Pandas Python
Introduction To GroupBy Function in pandas
GroupBy Function in pandas and aggregation are some of the most frequently used operations in data analysis, especially while...
Measures of Central Tendency [Mean, Median, Mode]
Introduction To Measures of Central Tendency
There are three main measures of central tendency: the mode, the median, and the mean.
Mean: Average Value Median: Middle Value Mode:...
Indexing and Slicing in NumPy
Introduction To Indexing and Slicing in NumPy
What is Indexing and Slicing in NumPy? Accessing the values of an array we generally used the index...