This reprositry contain all the codes of Udacity programming for data science course
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Updated
Dec 8, 2022 - Jupyter Notebook
This reprositry contain all the codes of Udacity programming for data science course
Unsupervised ML: Finding Customer Segments in General Population
identifying target audience for a successful marketing campaign
Analysing the Boston AirBNB data for the Udacity Project and Blog Post
Unsupervised Machine Learning Project: Finding Customer Segments
Python application that scraps diverse sources for covid-19 papers, applies NLP transformations and stores them in a dataset for visualizing on a Flask web application.
Udacity Programming for Data Science using Python
Quick descriptive analysis of the Stack Overflow survey results dataset with focus on conditions conductive to higher job satisfaction
Submissions and project work for the Udacity Data Scientist Nanodegree
Create a machine learning pipeline, that categorizes disaster events.
Apply unsupervised learning techniques to identify customers segments.
Determine customer churn for a music streaming company
Evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.
Data, notes and solutions for Udacity's Data Scientist Nanodegree.
NLP classifier for disaster messages
Analyze real census data and create a supervised machine learning model to predict potential donor for charity.
Image classifier using Pytorch
An an image classifier for species of flowers with PyTorch.
Web app to analyze disaster message into categories using data provided by Figure Eight
Build a CNN model to classify images of dogs according to their breed.
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