GANs: Generative Adversarial NetworksGenerative adversarial networks (GANs) can be used to help train a deep network model. What GANs can do is use the information that it…Nov 29, 2020Nov 29, 2020
BoostingMy last blog I explained bagging and now it’s time to discuss boosting, another method used in ensemble methods. The difference between…Nov 22, 2020Nov 22, 2020
Ensemble Methods and Random ForestsEnsembles is an algorithm that uses more than one model to make a prediction. The reason that this is a popular method is because idea…Nov 21, 2020Nov 21, 2020
Using Google Cloud Platform and BigQuery with Jupyter NotebookI recently took a deep dive in the rabbit hole that is SQL. As I was practicing and mastering my query skills a practice problem talked…Nov 9, 2020Nov 9, 2020
Excel for Data AnalysisI am on the job hunt and talked to multiple data analysis to see what they think is most used on the job. Most of them said Python…Nov 3, 2020Nov 3, 2020
Altering and Updating SQL tablesNow there is a full database but you want to update some old rows. We will also use a WHERE operator to make sure we only do it to one row.Nov 1, 2020Nov 1, 2020
SQL JoinsCross join-both table name after from. This is the worst way to join tables because there are duplicate rows. The reason for this is…Oct 29, 2020Oct 29, 2020
Advance SQL Cheat SheetThis is part 2 of my SQL cheat sheet. Part one for basics such as building tables, adding values and simple queries can be found here. Now…Oct 28, 2020Oct 28, 2020
Basic SQL cheat sheetI have been looking for a new job for a while now and every job post I see requires SQL. I try to review it every couple of days to stay…Oct 27, 2020Oct 27, 2020
Preparing data of Foreign Exchange Rate for Time Series ModelI have been working on a model that can predict the exchange rate for the Australian and US Dollar. The first thing I did was get my data…Oct 22, 2020Oct 22, 2020
LSTMWhen working with time series data, usually the first models are moving average models, autoregressive or a combination such as ARIMA. I…Sep 24, 2020Sep 24, 2020
Object Oriented Programming PythonWhen I first learned python we were taught quickly about objects and how to create them but never when to use them and why they are…Sep 24, 2020Sep 24, 2020
ClusteringUsing the K Nearest-neighbor model is a supervised model meaning that the data is labeled. Think of it as you looked over the data already…Sep 24, 2020Sep 24, 2020
DatabasesI am currently on the job hunt right now and whenever I look at the qualifications there is always some type of database. So I decided to…Sep 23, 2020Sep 23, 2020
Decision TreesDecision trees are based off of the CART algorithm. Which is a base of questions used to split up observations into their own group. It…Sep 23, 2020Sep 23, 2020
Transfer LearningI created a Convolutional Neural Network to determine if chest x-rays were healthy or if they had pneumonia. I thought my model did pretty…Sep 23, 2020Sep 23, 2020
K-Nearest NeighborsThe simplest way to break down K-Nearest Neighbors (KNN) is that similar objects have similar traits. So if we compare columns of our data…Sep 22, 2020Sep 22, 2020
Predicting NFL draftEvery year the NFL invites roughly 330 collegiate players to compete in the NFL combine to test their strength, skills, speed and agility…Sep 22, 2020Sep 22, 2020
Data AugmentationData augmentation is very useful when it comes to datasets that involve images. When building CNN models you will have thousands of images…Sep 22, 2020Sep 22, 2020
X-Ray classification with CNNUsing a CNN (Convolutional Neural Network) I was able to create a classification model that looks at chest x-rays and can determine…Sep 5, 2020Sep 5, 2020
