sujaysdesai Goto Github PK

absenteeism-data

Logistic regression model that predicts if a company employee will be excessively absent based on their characteristics, using Pandas, Numpy and sklearn.

audiobook-data

Deep neural network for audiobook customer repurchasing classification with Audiobook app data, using TensorFlow, sklearn, and Numpy.

bank-data

Logistic regression model that predicts if a client will subscribe a term deposit with a Portuguese bank, using Pandas, Numpy, Statsmodels, Matplotlib, Seaborn, and SciPy.

car-sale-data

Linear regression model to predict the price of a used car depending on its specifications using Python, Pandas, NumPy, Statsmodels, sklearn and Jupyter Notebooks.

chemsketch

Visualization app in Python for modeling the 3-D structure of molecules based on their molecular formulas.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

iris-flower-data

Iris flower species segmentation exploratory data analysis with K-means clustering using NumPy, Pandas, sklearn, Matplotlib, and Seaborn.

jobsearchtool

CLI script that fetches job postings in any location the user defines, using requests and Beautiful Soup to scrape web data.

mnist-classifier

Deep neural network for handwritten digit recognition with the MNIST dataset, using TensorFlow and Numpy.

samples-go

Temporal Go SDK samples

spare-parts

Designed and constructed a model-sized car with a hydrogen fuel cell-powered engine to compete at the AIChE National Conference

sujaysdesai.github.io

uber-eda

Exploratory data analysis project using R and ggplot on Uber ride times and bases affecting the amount of customer trips.