Machine Learning Tutorial Outline

Machine Learning is not a difficult course but it is a bit different. And different things require different strategies to be conquered.  That is why we will devise some strategy to learn machine learning as a whole without getting bored... so without further ado, lets have a brief overview of what we are going to cover in this Course;
Lecture Topics 1.Introduction to Machine Learning 2.Basic categories of Machine Learning 3.Supervised Learning : 4.Linear Regression part1 (Uni-variant) 5.Linear Regression part 2 (Multi-variant) 6.Polynomial Regression 7.

Maths For Machine Learning

Before anything else, we must have the essential Maths skills for Machine Learning... So that is why we will have a brief overview of all the mathematical concepts, which will help us to pursue our ML (Machine Learning) course.
I found the course on Edx very useful, if you want to refresh your mathematics concepts then you may look at this course; the link is given below:

Essential Math for Machine Learning: Python Edition

1-Machine Learning : Start...

John went to the cafeteria 10 times at 1:00 P.M. on 10 Fridays, each time the cafeteria was closed at that particular time. John decided not to go to cafe at 1:00 P.M. on Friday because the cafe will be closed.  But wait! How did John know that the cafe will  also be closed on next Friday at 1:00 P.M.??? Yes, you are absolutely right.  "John Learned from his Experience that the Task of going to the cafeteria at 1:00 P.M. on Fridays resulted in waste of time, since the cafe was closed on each Friday, so it will Perform the same on the next Friday." In the above scenario, John learned something so we can call it "John Learning". Similarly, if we replace John with some sort of Machine, that can learn from the Experience or from the History about how the tasks were performed in the past given certain situation. Such that the Machine will perform the same if the same task happen again in near future. Then this will be called as Machine Learning.
To make it Simple, Tom M. Mitc…

Jumbo Package

In this blog post I will talk about: Software Design PatternsOpen source platforms e.g. JoomlaSEO (Search Engine Optimization)Swift vs PythonReact vs Angular vs vue.jsMachine Learning and related learningsAnd Choosing Operating System....Seems so strange, too many things with no visible links....But wait! I have a solution to this problem, and the solution is in "telling a story" So let's beginJohn was a student of engineering, he was about to start his academic year for graduation. He wanted to go for software engineering as his major. He got admission in one of the most prestigious college of his state.  He was so passionate and optimistic about his field, he was good in programming and used to participate in every coding and programming contest. Now that he was in his Second year, he thought to get some kind of Internship. So he created his resume, checked it, get it checked by some of his amazing teachers. His resume was somewhat like below: He got 50 copies of his resume …

Recap of Web Engineering...

Well, one of my hobbies is to write HTML and CSS. So I thought to type some code and share that in this blog post.

so here you go..

"ForEnjoyment.html" file

<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"><link type="text/css" rel="stylesheet" href="styleSheet.css"><title>Just for Fun</title></head><body><div class="a"><div class="e"><div class="f"></div><div class="a"><div class="b"><div class="c"><div class="d"></div></div></div><div class="b"><div class="c"><div class="d"></div></div></div></div><div class="b"><div class="c"><div

Relational DB, ORM and ERP systems

When something is getting obsolete, we usually use to say it in Urdu as:
With each passing second data is increasing and to make efficient use of that data we need to store it in some structured form. In past almost all the enterprises used to store data, in rows and columns on paper; like for attendance of staff members, there was a register in which name and corresponding status of attendance is marked. Bills, payment status, resource planning, human resource management, everything was (just) on papers. so yeah, that time has almost gone; when people used to store a lot of data on papers and in files.  But then technology grew up and paperwork is shifted on digital world. (But, there are still many companies relaying on paper work more than on computers!). So as mentioned above, the problem is; data is expanding. We need to deal with it, we need to manage it properly.  According to Quickbase article on database history, computers were used to store data in database during 1960's. N…