Vector Space- A set V is called vector space on which two operations are defined. 1- Vector Addition 2- Scalar Multiplication Further, vector addition must follow the following properties and laws for vector addition. 1- Closure Property If u and v are two vectors in V then u+v must be in V. 2- Commutative Law […]
Vector Spaces and Linear Transformation Read More »
To understand random variable first you have to know about events. I will make you understand using examples. What are events? Example Tossing three coins on which one head turns up {HT,HH} A random variable quantify events of occurence. In other words, a random variable X is a function from set of events to real
Random variables and Probability Distribution Functions Read More »
Mutually Exclusive Events- Two or more events events are said to be mutually exclusive if only one can happen at a time. Example-1 In tossing a coin, event of tail up (T) and even of heads up (H) can not happen simultaneously. They are mutually exclusive events. Example-2 In rolling of a dice, event of
Mutually Exclusive and Independent Events Read More »
Linear Independence of Vectors Suppose α1, α2, α3, α4…………αn are vectors of V(F) where F is field. And there exist scalers a1, a2, a3, a4………..an which belong to field F. α1, α2, α3, α4…………αn vectors are called lineary independent if a1 α1 + a2 α2 + a3 α3+ ……… + an αn = 0 and
Linear Dependence and Independence of Vectors Read More »
Ubuntu only provides an iso image of the operating system and you need to make a pen drive bootable to install ubuntu. I will show step-by-step how to make a pen drive bootable using USB Installer. Step-1 Download USB installer using this link https://universal-usb-installer.en.uptodown.com/windows and keep in pendrive. Step-2 Download Ubuntu operating system using this
Create Bootable Pendrive and Install Ubuntu Read More »
Often students get confused what are differences between divide and conquer and dynamic programming. Since they solve problems in similar nature. Divide the problem into sub-problems combine them to get solution. Here I list the differences between divide and conquer and dynamic programming in a table and also made quizzes so that you can practice
Divide and Conquer and Dynamic Programming Algorithms Read More »
Mathematics is an essential part for machine learning without maths it is hard to get into core concepts. In addition, machine learning uses concepts from different branches, however, these branch of mathematics are the backbone of the machine learning. 1- Linear Algebra Matrix, Vector Spaces and Linear Transformations, Eigen Values and Eigen Vectors ( Principle
Mathematics for Machine Learning Read More »
For machine learning and data science projects data sets are necessary to train and test model. Furthermore, several datasets repository is available on the Internet. Some of them are freely available some need to pay money. Here I will list some popular datasets resources over the Internet for machine learning projects. 1-Kaggle Datasets Repository
Datasets for Machine Learning Read More »
Matplot is a very powerful python library to visualize the datasets. It is built upon the SciPy and the NumPy library. Further, it would be better to give examples that make you understand the matplot library. Example-1 import matplotlib.pyplot as plt x=[200,300,400,500,600,700] y=[200,300,400,500,600,700] plt.plot(x,y) plt.show() Execution on ubuntu The output of the code
Matplotlib in Python Read More »