Deep Convolutional Neural NetworksConvolutional neural networks, or CNNs, are a family of models that were inspired by how the visual cortex of the human brain works when…Dec 31, 2021Dec 31, 2021
Natural Language Processing, movie sentiment analysis (part III)This is based on the first two parts of Natural Language Processing Part I and II.Dec 25, 2021Dec 25, 2021
Natural Language Processing, movie sentiment analysis (part II)As we have seen in Natural Language Processing, movie sentiment analysis (part I). There are other ways to improve our model. Let’s start…Dec 18, 2021Dec 18, 2021
Natural Language Processing, movie sentiment analysis (part I)Text is usually just a string in your dataset, but not all string features should be treated as text. A string feature can sometimes…Dec 12, 2021Dec 12, 2021
Machine learning deployment using flaskIt is now time to deploy our machine learning model that we built previously “diabetes” as a REST API. First, we need to install the Flask…Dec 3, 2021Dec 3, 2021
Diabetes disease predictionFor this case study, we are going to help predict the likelihood of a person being diagnosed with diabetes based on several diagnostic…Nov 27, 2021Nov 27, 2021
Clustering using K-means for clothing designSince there is no label in unlabeled data, it is thus of interest to us that we are able to find patterns in that unlabeled data. This…Nov 19, 2021Nov 19, 2021
Data Preprocessing (Part II)Partitioning a dataset into separate training and test setsNov 12, 2021Nov 12, 2021
Data Preprocessing (Part I)The quality of the data and the amount of useful information that it contains are key factors that determine how well a machine learning…Nov 6, 2021Nov 6, 2021
K-Nearest Neighbors (KNN)KNN is a relatively simple algorithm compared to the other algorithms. It works by comparing the query instance’s distance to the other…Oct 31, 2021Oct 31, 2021
