A virtual proof that I enjoy data science https://eva-kinzley.github.io/ Below is my analysis of mobile applications reviews using Python. This data has been cleaned in my previous post, Data Manipulation with Natural Language Processing. In addition, I manually scored 200 randomly selected reviews with sentiment scores between -5 and 5. -5 means the review is a negative comment, +5... Wed, 10 Jun 2020 00:00:00 -0700 https://eva-kinzley.github.io/2020-06-10-EDA/ https://eva-kinzley.github.io/2020-06-10-EDA/ The project’s purpose is to develop a Convolutional Neural Network (CNN) to classify and predict images using Python’s TensorFlow package. Methodology: Load the data and flatten the input to feed into the model using tf.keras.layers.Flatten() Compile the model using model.compile() Train the model with the training data and training labels... Sun, 26 Apr 2020 00:00:00 -0700 https://eva-kinzley.github.io/2020-04-26-cnn-classification/ https://eva-kinzley.github.io/2020-04-26-cnn-classification/ The project’s purpose is to predict the number of COVID-19 cases in South Korea with SIR modeling. SIR modeling takes in dynamics of the COVID-19 outbreak as parameters and that is where the acronym is derived from. Those parameters are Susceptibles, Infected, and Recovered for a given time. Data Set... Mon, 20 Apr 2020 00:00:00 -0700 https://eva-kinzley.github.io/2020-04-20-covid/ https://eva-kinzley.github.io/2020-04-20-covid/ Example GIF of the dashboard I created below. Analysis can be made from the interactive dashboard by identifying trends in total number of deaths, average length of social conflicts, and frequency of social conflicts by country. For example, you can see in Figure 1 Baghdad has the largest number of... Mon, 02 Mar 2020 00:00:00 -0800 https://eva-kinzley.github.io/2020-03-02-tableau-social-events/ https://eva-kinzley.github.io/2020-03-02-tableau-social-events/ The project’s purpose is to develop an R package. This package provides an R wrapper for the Pokémon API. It is specifically for getting, filtering, and summarizing the following information for each of the generation 1 Pokémon. pokedex index number (idx) pokemon species (pokemon) API URL for pokemon species (speciesURL)... Thu, 06 Feb 2020 00:00:00 -0800 https://eva-kinzley.github.io/2020-02-06-rwrapper/ https://eva-kinzley.github.io/2020-02-06-rwrapper/ Which of the 3 models is the best for this data? Based on the evaluation metrics below, I would choose the k-nearest neighbors (K=3) method as the ‘best’ for this data. The reason is KNN outperforms for all metrics when comparing to LDA and QDA. The KNN has the highest... Sun, 19 Jan 2020 00:00:00 -0800 https://eva-kinzley.github.io/2020-01-19-comparing_models/ https://eva-kinzley.github.io/2020-01-19-comparing_models/ The project’s purpose is to clean and manipulate text data prior to applying machine learning techniques. The dataset contains errors to simulate data collection in the real world. Dataset Description Two csv files are collected for mobile applications each week. One csv file includes application reviews, and the other file... Thu, 12 Dec 2019 00:00:00 -0800 https://eva-kinzley.github.io/2019-12-12-NLTK-processing/ https://eva-kinzley.github.io/2019-12-12-NLTK-processing/ The project’s purpose is to develop an R Shiny app for stakeholders, such as realtors, to use to make effective business decisions. Dataset Description ui.R 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ui <- fluidPage(... Tue, 10 Dec 2019 00:00:00 -0800 https://eva-kinzley.github.io/2019-12-10-rshiny/ https://eva-kinzley.github.io/2019-12-10-rshiny/