Articles
K-Fold Cross Validation Example Using Python scikit-learn
In this post, we will provide an example of Cross Validation using the K-Fold method with the python scikit learn libra...
Cross Validation to Avoid Overfitting in Machine Learning
Cross validation is a technique used to determine how the results of a machine learning model could be generalized to n...
Classifier Model in Machine Learning Using Python
In the post, we will learn about how to create a classifier model in machine learning using python. We will create a su...
Multivariate Linear Regression in Python with scikit-learn L...
In this post, we will provide an example of machine learning regression algorithm using the multivariate linear regress...
Support Vector Machine Algorithm Explained
The Support Vector Machine is a Supervised Machine Learning algorithm that can be used for both classification and regr...
How to Take Care of Your Employees
Any wise employer or company manager would know the importance of taking care of their employees. They know that ha...
Random Forest Algorithm in Python
The Random Forest algorithm can be described in the following conceptual steps: Select k features randomly from the ...
Decision Trees in Machine Learning
Decision tree is a popular Supervised learning algorithm which can handle classification and regression problems. For b...
Logistic Regression in Python using scikit-learn Package
Using the scikit-learn package from python, we can fit and evaluate a logistic regression algorithm with a few lines of...
5 Tips on How to Become Eligible in Applying For a Loan
At one point in your life, you might need to take out a loan because it would seem to be the most practical solution to...
Logistic Regression
In machine learning, the Logistic Regression algorithm is used for classification problems. It provides an output that ...
Multiple Linear Regression
The multiple linear regression algorithm states that a response y can be estimated with a set of input features x and a...
Supervised Learning Models
As we pointed out earlier, both classification and regression models are in the field of Supervised Learning. These mod...
Bias Variance Trade Off
The interesting property of a machine learning model is its capacity to predict or categorize new unseen data (data tha...
Concise Management Services – Document Preparation Professio...
Brooklyn, NY -- December 6, 2019 -- Document preparation can be a tedious task for any new or existing business entity....
The Top tips And Strategies To Help Increase Your Financial ...
Looking at the top tips and strategies for helping build money awareness and financial acumen. How to get a better ...
Social media reporting - it is not as difficult as you think
Some marketers do it on a daily basis, others avoid it as much as they can. What are we talking about? It is al...
Model Selection in Machine Learning
Model selection refers to choose the best statistical machine learning model for a particular problem. For this task we...
Evaluate Model Performance - Loss Function
The predictions that the model returns will be compared with the real observation of the variable to obtain a measure o...
Train-Test Datasets in Machine Learning
Once we have cleaned the data and have selected the features from the data for building the model, the next step is to...
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