A/B Testing in Statistics and Data Science vs Machine Learning is a short video to compare the A/B Test and Machine Learning and how they are related to each other. https://youtu.be/T3_J2anSJHY A/B Testing in Statistics and Data Science vs Machine Learning Happy Learning !!
Cross-Validation in Machine Learning for example K-fold Cross-Validation is a short video to describe what is Cross-Validation in Machine Learning, why do we need to do cross-validation, and how to do it using sklearn. https://youtu.be/9YqhJUSWSj8 Cross-Validation in Machine Learning and K-fold Cross-Validation using Sklearn Happy Learning !!
This post is not to discourage any one :)The aim of this post is to discuss, if you have started learning or planning to learn Python programming, are you on the right path?I don't think that there's a lot of good uses NOT to learn something, however, the argument is "could my time be better … Continue reading Top Ten Reasons for NOT learning Python Programming
This Post is not to discourage any one :)But at the same time we all should discuss the reality.The aim of this post is to discuss, if you have started learning or planning to learn machine learning, are you on the right path?The conclusion of right or wrong path completely depends on the individualAlright, so … Continue reading Top Ten Reasons for NOT learning Machine Learning and Artificial Intelligence
Gradient Descent is one the key algorithm used in Machine Learning. While training machine learning model, we require an algorithm to minimize the value of loss function. Gradient Descent is one of the optimization algorithm , that is used to minimize the loss. There are mainly three types of Gradient Descent algorithm1. Batch Gradient DescentBatch … Continue reading Difference Between Batch, Mini-Batch and Stochastic Gradient Descent
As a machine learning engineer you may have created the Random Forest Algorithm Model, but have you ever tried to visualize it. If not , this is the post for you. In this post we will learn how to Visualize or Print Random Forest Algorithm Model in Jupyter notebook. https://www.youtube.com/watch?v=6uPavHNuatA&t=1s Top 10 Free Books for … Continue reading Visualize or Print Random Forest Algorithm Model
Random Forest algorithm is like an ensemble algorithm made of Decision Trees, which comprises more than one decision tree to create a model. It creates more than one tree like conditional control statements to create its model hence it is named as Random Forest. Random Forest machine learning algorithm can be used to solve both … Continue reading Random Forest Classification in Python in 10 Lines
Random Forest algorithm is like Decision Tree, which comprises more than one decision tree to create a model. Random Forest algorithm is an ensemble method. It creates more than one tree like conditional control statements to create its model hence it is named as Random Forest. Random Forest machine learning algorithm can be used to … Continue reading Random Forest Regression in Python in 10 Lines
Decision tree machine learning algorithm can be used to solve not only regression but also classification problems. This algorithm creates a tree like conditional control statements to create its model hence it is named as decision tree. In this post we will be implementing a simple decision tree classification model using python and sklearn. First … Continue reading Decision Tree Classification in Python in 10 lines
The receiver operating characteristic area under curve is a way to measure the performance of a classification model, may be created using algorithms like Logistic Regression. ROC-AUC is basically a graph where we plot true positive rate on y-axis and false positive rate on x-axis. If a model is good the AUC will be close to 1. Area … Continue reading Print ROC AUC Receiver Operating Characteristic Area Under Curve