Post 7 | ML| Data Preprocessing – Part 6

Hello, everyone. Welcome to the last tutorial in the Data Preprocessing portion of the Machine Learning tutorials. In the last tutorial, we saw how to create the TRAINING and TEST data sets for model building purposes. In this tutorial, we are going to see why and how to perform the Feature Scaling. Let us begin, then. To refresh … Continue reading Post 7 | ML| Data Preprocessing – Part 6

Post 6 | ML | Data Preprocessing – Part 4

Hello, everyone. Welcome to the Part 4 of the Data Preprocessing of the Machine Learning tutorials. In the last tutorial, we saw how to impute the Missing Data in both Python and R. In this tutorial, we are going to see how to deal with the qualitative entries in the given data. The following infographics show our … Continue reading Post 6 | ML | Data Preprocessing – Part 4

Post 5 | ML | Data Preprocessing – Part 3

Hello, everyone. Thanks for coming back for the third part of the Data Preprocessing section of the Machine Learning tutorial series. In the last tutorial, i.e. Part 2, we saw how to import the downloaded dataset. In this tutorial, we are going to see how to impute the missing data in the input data. The … Continue reading Post 5 | ML | Data Preprocessing – Part 3

Post 4 | ML | Data Preprocessing – Part 2

Hello everyone, thanks for coming back to the next tutorial in Data Preprocessing step of Machine Learning tutorials. Just to refresh your memory, in the last tutorial i.e. Part 1 of Data Preprocessing, we saw how to download the dataset and import the required libraries for performing required operations. In this tutorial, we are going to see how … Continue reading Post 4 | ML | Data Preprocessing – Part 2

Post 1 | ML | Introduction

Hello, people. In this new tutorial series, we are going to talk about the different aspects of the Machine Learning. As an aspiring Data Scientist, I always wanted to get my hands dirty with the concepts of Machine Learning and the Summar Break gave me exactly what I wanted - "TIME TO LEARN MACHINE LEARNING … Continue reading Post 1 | ML | Introduction