Category: Machine Learning

Principal Component Analysis
Posted on: August 9, 2020 Posted by: admin Comments: 0

Dimensionality Reduction using Python & Principal Component Analysis

Implementing Principal Component Analysis Using PCA In our previous article on Principal Component Analysis, we understood what is the main idea behind PCA. Where we learned : What Is PCA? Why PCA? The intuition behind PCA? Maths Behind PCA Steps To Compute Principal Components and Get The Reduced Dimensions. As promised in the PCA part 1, it’s time to acquire the practical knowledge of how PCA is implemented using python, using…

AI For Agriculture
Posted on: August 8, 2020 Posted by: admin Comments: 0

AI For Agricultural Intelligence: Part 1

How AI Is Changing Agriculture Sector? What Are The Use Case Of AI in Agriculture? Often I feel : “ When Rural intelligence of our Farmers meets the artificial intelligence of the machine, magic is bound to happen “ – Why Agriculture Has to Be At The Focus of Visionaries? Poverty is a global issue especially in the Asian, and the African continent and if one has to really take this issue…

Dimensionality Reduction Using PCA
Posted on: July 28, 2020 Posted by: admin Comments: 0

Understanding PCA & The Concept of Clustering In Unsupervised Learning

Data in itself has no value, it actually finds its expression when it is processed right, for the right purpose using the right tools. So when it comes to understanding the data it becomes extremely important that we are not only looking to extract obvious insights but also to identify the hidden patterns which may not be easy to find just by exploratory data analysis. To make intelligent predictions, identifying patterns…

data visualization using python
Posted on: July 21, 2020 Posted by: admin Comments: 0

Data Visualization With MatPlotLib Using Python

I Feel: In today’s digital world data has become as important as air.Machines & humans both are literally breathing in & breathing out data data and data…. People are consuming and generating huge volumes of data knowingly and unknowingly on a daily basis. It is this bombardment of digital information is what current businesses are trying to tap and harness to sell and engage their customers more. All types of…

Descriptive statistics in data science
Posted on: July 19, 2020 Posted by: admin Comments: 2

Descriptive Statistics Fundamentals For Data Science Aspirants

Few lines I wrote, dedicated to data engineers: Data Data everywhere, consumers are now more aware So mine the data with utmost care, and serve them everywhere. Yes, that valuable it is to treat and process data with the required precision so that you can serve your customers/consumers effectively and responsibly. In Applied statistics we try to ensure the data is reliable and clean to help us build a model…

Linear Regression
Posted on: July 19, 2020 Posted by: admin Comments: 1

Supervised Machine Learning Using Linear Regression

Data science with the kind of power it gives you to analyze each and every bit of data you have at your disposal, to make smart & intelligent business decisions, is becoming a must have tool to understand and implement in your organization , it is very important that your business decisions are not based on intuition rather based on data analysis. Being a data science learner & practitioner, very…

Logistic Regression
Posted on: July 19, 2020 Posted by: admin Comments: 0

Logistic Regression For Dummies: A Detailed Explanation

“ Try to understand the problem statement first, keeping your trained intelligence aside and try to analyze the given data as if you don’t know anything about them. Your honest acceptance that you know nothing will lead you to the process of building a model worth deploying. “ Process is more important than the outcome in the field of Data Science In our last article on supervised ML, we covered linear regression model which dealt…

Posted on: July 19, 2020 Posted by: admin Comments: 1

Dimensionality Reduction Using PCA: A Comprehensive Hands-On Primer

We, humans, are experiencing tailor-made services which have been engineered right for us, we are not troubled personally, but we are doing one thing every day, which is kind of helping this intelligent machine work day and night just to make sure all these services are curated right and delivered to us in the manner we like to consume it. Can you guess, what is that one thing? Yeah, you…