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 all about social media analytics. It is not that easy to analyse your performance,...
View ArticleThe Top tips And Strategies To Help Increase Your Financial Acumen
Looking at the top tips and strategies for helping build money awareness and financial acumen. How to get a better understanding of your money. According to the World Bank, the 2018 global GDP was...
View ArticleConcise Management Services – Document Preparation Professionals
Brooklyn, NY — December 6, 2019 — Document preparation can be a tedious task for any new or existing business entity. In fact, this is one of the most time-consuming chores that companies have to deal...
View ArticleBias Variance Trade Off
The interesting property of a machine learning model is its capacity to predict or categorize new unseen data (data that was not used in training the model). For this reason the important measure is...
View ArticleSupervised Learning Models
As we pointed out earlier, both classification and regression models are in the field of Supervised Learning. These models are characterized by having a group of features or independent variables and a...
View ArticleMultiple Linear Regression
The multiple linear regression algorithm states that a response y can be estimated with a set of input features x and an error term ɛ. The model can be expressed with the following mathematical...
View ArticleLogistic Regression
In machine learning, the Logistic Regression algorithm is used for classification problems. It provides an output that we can interpret as a probability that a new observation belongs to a certain...
View Article5 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 address certain situations in terms of immense purchases. However, there are...
View ArticleLogistic 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 code. Also, for binary classification problems the library provides interesting...
View ArticleDecision Trees in Machine Learning
Decision tree is a popular Supervised learning algorithm which can handle classification and regression problems. For both problems, the algorithm breaks down a dataset into smaller subsets by using...
View ArticleRandom Forest Algorithm in Python
The Random Forest algorithm can be described in the following conceptual steps: Select k features randomly from the dataset and build a decision tree from those features where k < m (total number of...
View ArticleHow 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 happy and satisfied employees convert into happy and satisfied customers, which...
View ArticleSupport Vector Machine Algorithm Explained
The Support Vector Machine is a Supervised Machine Learning algorithm that can be used for both classification and regression problems. However, it is most used in classification problems. The goal of...
View ArticleMultivariate Linear Regression in Python with scikit-learn Library
In this post, we will provide an example of machine learning regression algorithm using the multivariate linear regression in Python from scikit-learn library in Python. The example contains the...
View Article5 Ways to Budget to Buy Your Dream House
Buying a house is likely the largest purchase you will make in your life, so it goes without saying that this is not an impulse buy but one in which preparation and research are key. Find an area that...
View ArticleClassifier 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 supervised classifier model that will train a dataset with a set of features and...
View ArticleCross 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 new, unseen data. The training error associated with a model might underestimate...
View ArticleK-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 library. The K-Fold Cross Validation example would have k parameters equal to 5. By...
View ArticleUnsupervised Learning Models
Unsupervised learning models are composed of features that are not associated with a response. This means that this type of machine learning algorithms do not have labelled data as their interest lies...
View ArticleK-Means Algorithm Python Example
In this post, we will provide an example of the implementation of the K-Means algorithm in python. This K-Means algorithm python example consists of clustering a dataset that contains information of...
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