Regression model in Machine Learning using Python
In this post, we will be learning about techniques to generate supervised learning regression models. We will be exploring Linear Regression and Regularized Regression. We will be also looking at various types of Regularized Regression: Ridge Regression and Lasso Regression. ... Read More
Machine Learning: Cleaning data
In this post we will be understanding various techniques used to clean dataset. Before cleaning data we need to understand our data. This post also explains about way to understand the data we are dealing with. Cleaning of data is one of the crucial step in the entire process of creating machine learning model. Let's get started and master the crucial process of cleaning datasets. ... Read More
Hierarchical clustering algorithm in Python
In the previous post, Unsupervised Learning k-means clustering algorithm in Python we discussed the K Means clustering algorithm. We learned how to solve Machine Learning Unsupervised Learning Problem using the K Means clustering algorithm. If you don't know about K Means clustering algorithm or have limited knowledge, I recommend you to go through the post. ... Read More
Logistic Regression Detailed Explanation
Logistic regression is a binary classification model, i.e. it will help to make predictions in cases where the output is a categorical variable. We cannot draw a line and classify data points into two classes. So we can use the curve also known as the sigmoid curve. The sigmoid function is represented as: $$ 1\over {1 + e^{-(\beta_0 + \beta_1x)}}$$ As we know Linear Regression is represented as: $$h_\theta(x) = w^Tx$$ ... Read More
Limitations of the Linear Regression
In the previous post, we discussed a Simple Linear Regression detailed Explanation. I recommend you to go through the post to have a detailed understanding of the Simple Linear Regression. There are a few assumptions that Linear Regression has to find the best fit line. NOTE: This assumptions hold true for Simple and Multi Linear Regression. ... Read More
Decision Tree Detailed Explanation
Decision Tree (a tree-based algorithm) is high interpretability and an intuitive algorithm. It works almost the same as that of the human mind works for decision making. We can think of it as a nested if and else statements forming an upside-down tree. Therefore, it is very easy to explain the results of the model to the business team. ... Read More
Visual Designing
Visual Designing is one of the vast concepts in the world of designing, as of there are numerous definitions and explanations are available which are a bit strenuous to understand by the amateur Designer/User, so this blog explains about the concepts of visual designing keeping it to point. ... Read More
