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In our daily life we make enormous decisions from start of our day to end of our day. There are many times we use decision tree in our lives unknowingly. We have all about studied decision trees in our schools and colleges. How does it be everyone knows. A tree like structure which starts with root node and ends with leaf nodes.There are many other algorithms in ML based on Decision tree.

Before getting into this if you want to know aabout Data Science methdology of problem solving. Visit Introduction to Data Science. Next, dive into the topic

What makes…


Machine Learning is the part of the AI where the machine learns the data given to it with minimal human intervention. Machine Learning is divided into four categories namely Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning. Supervised Learning is used when the label is known and is given to machine so that further such data can be easily identified. The Supervised ML is further divided into two types. They are Regression and Classification tasks. In the process, the first basic regression algorithm to be known is Linear Regression and the first Classification algorithm to be known is Logistic Regression.

Today the…


The article was good explaining from LR theory to implementation then you have to check the formula for MSE(Mean squared error). Can I know how did you get 1/2n instead of 1/n?


Linear Regression is the basic model to be studied while getting into Machine Learning algorithms. It is one of the ML model which is used for predicting numerical(discrete/continuous)values for a dataset or a problem like predicting the house prices, stock prices, fare prices, pollution in air, etc. It cannot be used for categorical value prediction. It is one of the basic algorithms in the Supervised ML algorithm(where are labels are known).

The term regression was first coined by Francis Galton to describe the biological phenomenon where the heights of descendents of tall ancestors regress down towards normal average(regression towards mean)…


Good idea and nice analysis. Can I know what is the shape of your dataset extracted?


When 2020 was started it was really exciting year and everyone including me was expecting something and I don’t say I didn’t spend it nice way or didn’t get good things no it is as what it was. I say it was a different year than any other year.

I hear only few things mostly in the year 2020 are the virus outbreak, the pandemic arouse and life of many has changed. Then what i see is some of the lives are effected by outbreak then many of the people have started their new phase by choosing what they ever…


Data evolving into different areas so dealing with it should also be by making better use of it for achieving the goals and being successful

As the data is increasing day by day in every field and industry it is very important for any company or industry or the domain to know about it and use it in proper ways so that the company or industry grows in an enormous way. No business wants to inhibit growth and then they does not know where the problem is rooting and how to solve it and grow. This is the crucial stage and understanding this stage will make them prosper.

Here comes the Data Science way of problem solving for enabling the companies to grow and achieve…


We struggled for independence and we got it on August 15 after that did corrupt or bad politics end. There was some or the other way these evil or wrong minded people rule the society. As a citizen or a person it is important for us to know in which way we can be better and help the world and grow our country. We are not known as a person there comes many traits by which we are called a good person. …


Today the world has changed a lot where did this begin from?How did the revolution come?Are we standing at the right?Humans have evolved a lot. There are many places to live and enjoy in our lives like a park,hotel,cinema halls,malls,a different country or atmosphere,at the most wonderful monuments,historical places,art gallery,food outlets,small places in the street, roadside highways,restaurants,the high five places,luxurious resorts,parlors and salons,homes,offices,mountains,tents,space,research centers,ships,light house,beaches,islands and many more. How did we reach all the places?

It is not what one person has done. We have made and explored all the things we wanted that to be a part so that…

Yamini

Blogger, Achiever, Data science aspirant, Soulful person, Optimist

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