Recent posts
Imbalanced Datasets in Machine Learning
AskAI
Machine Learning Engineer
One way to account for an imbalanced dataset when training a machine learning classifier is to use a technique called data augmentation. This involves artificially generating new data points that belong to the minority class, thereby increasing the total number of data points available for training.
Implement a Naive Bayes Classifier
AskAI
Machine Learning Engineer
A Naive Bayes Classifier is a machine learning algorithm that can be used to classify data. It is based on the principle of Bayesian inference, which states that the probability of an event is determined by its prior probability and the evidence for or against it.
Predicting Customer Purchases
AskAI
Machine Learning Engineer
The goal is to predict whether a customer will make a purchase in the next month, based on their name, gender, age, and purchase history. A machine learning model will be trained on customer records to make these predictions.
Feature Selection for Machine Learning
AskAI
Machine Learning Engineer
A machine learning algorithm is used to identify which features in a dataset are most predictive of the target variable. This can be used to reduce the dimensionality of the data and improve the performance of the machine learning models.
Predicting Loan Default
AskAI
Machine Learning Engineer
This problem asks for a machine learning model that can predict whether or not a loan will default.
Predicting E-Commerce Customer Purchases
AskAI
Machine Learning Engineer
The goal is to predict which items will be purchased by a customer given their ID, using a large dataset of e-commerce customer data. Each customer has an ID, name, and a list of items they have purchased. Some customers have purchased the same item multiple times.
Determining linearity in data sets.
AskAI
Machine Learning Engineer
There are many ways to determine if there is a linear relationship between two data sets. One way is to use a scatter plot. If the data points on the scatter plot fall along a line , then there is a linear relationship between the data sets. Another way to determine if there is a linear relationship is to use a correlation coefficient. If the correlation coefficient is close to 1, then there is a linear relationship between the data sets.
Predicting House Prices Based on Size
AskAI
Machine Learning Engineer
The dataset contains housing prices in a city. The task is to predict the price of a new house in the city, given its size (in square feet).