Maths & Stats
For Data science

This assignment covers all the fundamentals of Dot product that can use in the Machine learning/Deep learning algorithms.

It is part of the Vectors that helps to play with nonnegative number to find the magnitude of the numbers. This norm of vector is also known as magnitude of a vector.

This assignment will cover the core fundamentals to find the linear combinatons of vectors.

The matrix multiplication will covers how to multiply the matrix with help of sample dataset.

This assignment covers how to solve and basic of the linear equations.

This assignment will cover the work with simple 2D vectors and see the effects of various transformations on them.

It will work with simple 2D vectors and 2 x 2 transformations on vectors and particularly on eigenvectors and it will help to find the eigenvalues.

This assignment covers the basics and it will help to work with the vectors spaces to some vector operations

Calculus plays an integral role in understanding the internal workings of machine learning algorithms. This assignment will help you to understand the fundamentals of the calculus.

It will covers all the descriptive statistics that has been used in the machine learning for the analysis of dataset.

The assignment will cover the meausres of central tendency i.e mean, median and mode.

The quantile transform provides an automatic way to transform a numeric input variable to have a different data distribution that can be used as input to a predictive model.

Variability gives users a way to describe how much data sets vary and allows users to use statistics to compare their data to other sets of data.

In this assignment we will apply the learnings of central tendency, variability on the housing dataset.

This assignment it used to check the variability of the dataset and suggest the best mobile phone
according to the requirement of the customer.

In this assignment it will learn different types of sampling and look at how to sample data for better predictions.

It is a type of inferential statistic used to study if there is a statistical difference between two groups. This assignments will cover the different types and it’s implementations.

A/B is a basic randomized control experiments. It is a way to compare the two versions of a variable to find out which performs better in controlled enviroments.

It will help you to implement conduct an independent two sample t-test to check if you hypothesis is accepted or rejected.

This assignment will conduct t-test on samples and use z score to see if hypothesis is accepted or rejected.

this assignment will help you to use a particular plot and what’s their significance in getting insights from the data.

This assignment will covers the wide range of probability that’s been used for the Machine learing applications.