Umang Srivastava

Umang Srivastava

A software developer trying to make a mark in the field of data science.

Welcome post

1 minute read

Introduction

I am a .Net developer by profession based out of Bengaluru with two years of experience. Last year I made up my mind to dive deeper into the world of data science. After almost a year I can say that I have learned a lot and there’s still a lot to learn. From exploring the data to modelling ANN(Artificial Neural Network) I have tried many things, sometimes my models performed worse than a base model and at other times I trained models that performed very well. That’s how learning works, you make mistakes, learn from them and keep the process going.

“There is only one thing that makes a dream impossible to achieve: the fear of failure.”
― Paulo Coelho, The Alchemist

What is my aim for writing these blogs?

With this blog series I aim to explain the Machine Learning concept in a simple and easy to understand tone and language. In each of these blogs I will try my best to explain:

  • Why we need a certain Machine Learning concept?
  • What concepts are useful for a Machine Learning Process?
  • Real life examples.
  • Code examples related to each concept.

My expectation from the reader

I expect the reader to have some prior or at least minimal knowledge of:

  • Statistical concepts like: Mean, Median, Variance and Distributions.
  • Basic knowledge of python and libraries like: Pandas, Numpy, Seaborn and Matplotlib.
  • Basic theoretical knowledge of Machine Learning Models.

I will try to build up on these concepts and explain other related concepts.

What will I cover?

In this blog series I will cover major steps involved in a Machine Learning process. Under each step I will explain the concepts required for that step. There are a lot of concepts that are required in a machine learning process. So, this might be a big series of blogs.

Data science is a vast field, you can only conquer it one concept at a time.

Closing words

This blog series can act as a good learning point for those who have just started with Data Science and a good reference point for those who have some experience with Data Science and are looking to revise a few concepts.

I will try my best to explain each concept in-depth and in an easy language.

Hope you will enjoy the blog!

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