pranath Goto Github PK

abtest_webpage_variants

This analysis examines website traffic data from 2 web page variations using A/B testing to try to determine which page (if any) performs better with respect to conversions.

activity_and_sleep

In this project I look at time series data on my own activity and sleep to better understand how that varies over time, but also to try and forcast how that may change in the future.

airbnb_quality_and_price

In this study I will seek to get a better understanding of factors that effect the price and quality of listings on the Airbnb accommodation site.

art

Jekyll Template - Mediumish

bikeshare_analysis

In this project, I will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns.

blog

blog-1

Blog about my personal projects

blog-2

Posts related to Data Science, engineering and machine learning.

blog2

blogtest1

breast_cancer_prediction

In this project I will look at a dataset of patient data relating to breast cancer, and develop a machine learning model that will aim to predict Malignant tumors with the highest accuracy.

car_insurance

In this project I will look at data that relates to behavioural characteristics of customers who have taken out car insurance.

disaster_response

In this project I will analyze disaster messages to build a machine learning model that classifies the messages using a web application so they can be sent to the relevant aid agencies.

dlai_langchain

Deep Learning AI Course - LangChain for LLM Application Development

eda_wine

In this exploration I will be examining a data set of white wine data to try to determine which chemical properties of wine may be useful in helping to predict it's quality (using the R language).

fastbook

fastbook-1

The fastai book, published as Jupyter Notebooks

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

find_customer_segments

In this project, I will apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany.

flower_recognition

In this project, I will develop a deep learning image classifier using Pytorch to recognize different species of flowers - and deploy it in a command line application.

high_dim_data_vis

In this project I look at the high dimensional MNIST dataset of handwritten digits and use PCA, t-SNE and Topological data analysis (TDA) to visualise and understand the dataset.

ibm_reccomendations

For this project I will analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles we think they will like.

jupyter-notebooks

Collection of Jupyter notebooks

machine_failure

noshows

This analysis investigates a dataset of around 100k medical appointments from Brazil, looking primarily at if patients show up for appointments or not aka 'No-shows', and the possible reasons why.

patient_select_diabetes

In this project, we will create a deep learning model trained on EHR data (Electronic Health Records) to find suitable patients for testing a new diabetes drug.

pds

Practical Data Science on AWS Course Files

personal_blog

phantom-jekyll-theme

A Jekyll version of the "Phantom" theme by HTML5 UP.

pneumonia_detection

In this project, I will analyze data from the NIH Chest X-ray 2D Medical image dataset and train a deep learning model to classify a given chest x-ray for the presence or absence of pneumonia.