Are you someone who is always fond of using machine learning and deep learning libraries such as Scikit-learn, TensorFlow, PyTorch, etc, but don’t really understand how a neural network works under...
Neural Network Basics with Logistic Regression
These are some of my notes taken from the first course of Deep Learning Specialization (Neural Networks and Deep Learning) by deeplearning.ai. This might help you gain insights on how a neural netw...
RandomForest with scikit-learn - Part 2
Welcome to the second part of the post. In this half, we will be implementing RandomForest regressor on our own dataset. For that first, you will need to have a dataset. The one that I used is a we...
RandomForest with scikit-learn (Part 1)
Among many machine learning techniques, RandomForest is one of the most widely used ensemble supervised algorithm for both classification and regression tasks. Yes, it works smoothly for both categ...
Dimensionality Reduction - Machine Learning
In Machine Learning or Statistics, dimensionality reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables. This can be ach...
Machine Learning Terminologies
As a beginner in data science or machine learning, it always adds a cushion if you already know some basic and most often used terminologies. You might feel intimidated at start hearing all those f...
Tricks for writing idiomatic Python code
This post reveals some cool Python3 tricks that can make your code look elegant and much efficient. The principle behind this is to write idiomatic python code so that it is more human-readable. 1...
How to write pythonic code?
Ever since I shifted from C to Python, my life has been terribly easy as Python is such a neat and powerful language. But I have had my problems in the beginning. Although I started writing code i...