Skip to main content

My New Book is now Available!

 
                                       Announcing The Release of My New book

Another post starts with you beautiful people!
Today I am very happy and going to share with you all about my happiness. It was almost 6 months of work, dedication and motivation to accumulate my knowledge and experience in a book.

When I have started to learn Data Science with Python, there were rare resources who can teach me all the basics of Data Science so that I can get my first job in this field. Data Science is a vast field, no one can be a master in all fields but one can master in basics and that is asked to everyone whether you are an aspiring data scientist or an experienced one. Keeping this lesson in my mind I determined to make my own notes based on my previous experience and various resources available in internet so that whenever I need to brush up my mind I will use my notes; I will not use Google search or use internet for this.

Believe me my friends! If you decide to learn anything, you search that thing in internet which is a good start but the search result gives you a lot of options and that starts the main issue. You open a link in a tab and end with opening multiple tabs in your browser. The next day or in a few days if you want to recall all your past learning you will have to again open the browser. As a human being your mind will also be distracted by social media and other aids and you will be moved from learning Data science to engage with other stuffs available in internet.

Are you relating yourself with above? If yes, then it is not happening with you only. It has been done with me, it is going on with many people because our mind is trained like this way. But not anymore now! You have decided to learn Data Science and make your career in this field and from now onward you are going to follow the old school way- Reading This Book!

In this book I have described required concepts with easy to follow Python code. The theory is in a concise manner keeping this in mind that you are a practitioner. The language of this book is very simple. All the code will be provided to you in a Jupyter notebook format which you can easily run in your environment. Most important benefit of buying this book is you will get support on any issue, query from me itself. I am sharing following link where you can read starting two chapters of this book without paying any cost- BOOK PREVIEW

If you believe in yourself and from book preview you find my content useful then follow below links to buy this book-


Currently my book is available for 17 countries in Amazon marketplace. In case if no any link is working in your country, let me know. Book will be shipped to your door. Till then Go chase your dreams, have an awesome day, make every second count and see you later in my next post.



Comments

Popular posts from this blog

How to use opencv-python with Darknet's YOLOv4?

Another post starts with you beautiful people 😊 Thank you all for messaging me your doubts about Darknet's YOLOv4. I am very happy to see in a very short amount of time my lovely aspiring data scientists have learned a state of the art object detection and recognition technique. If you are new to my blog and to computer vision then please check my following blog posts one by one- Setup Darknet's YOLOv4 Train custom dataset with YOLOv4 Create production-ready API of YOLOv4 model Create a web app for your YOLOv4 model Since now we have learned to use YOLOv4 built on Darknet's framework. In this post, I am going to share with you how can you use your trained YOLOv4 model with another awesome computer vision and machine learning software library-  OpenCV  and of course with Python 🐍. Yes, the Python wrapper of OpenCV library has just released it's latest version with support of YOLOv4 which you can install in your system using below command- pip install opencv-pyt...

Detecting Credit Card Fraud As a Data Scientist

Another post starts with you beautiful people! Hope you have learnt something from my previous post about  machine learning classification real world problem Today we will continue our machine learning hands on journey and we will work on an interesting Credit Card Fraud Detection problem. The goal of this exercise is to anonymize credit card transactions labeled as fraudulent or genuine. For your own practice you can download the dataset from here-  Download the dataset! About the dataset:  The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. Let's start our analysis with loading the dataset first:- As per the  official documentation -  features V1, V2, ... V28 are the principal compo...

Can you build a model to predict toxic comments?

Another post starts with you beautiful people! Hope you have learnt something new and very powerful machine learning model from my previous post-  How to use LightGBM? Till now you must have an idea that there is no any area left that a machine learning model cannot be applied; yes it's everywhere! Continuing our journey today we will learn how to deal a problem which consists texts/sentences as feature. Examples of such kind of problems you see in internet sites, emails, posts , social media etc. Data Scientists sitting in industry giants like Quora, Twitter, Facebook, Google are working very smartly to build machine learning models to classify texts/sentences/words. Today we are going to do the same and believe me friends once you do some hand on, you will be also in the same hat. Challenge Link :  jigsaw-toxic-comment-classification-challenge Problem : We’re challenged to build a multi-headed model that’s capable of detecting different types of toxicity like thre...