Pinned Repositories
abrar
aipnd-project
Project code for AI Programming with Python ND Program
blog-posts
This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.
Create-your-own-image-classifier
Image classifier using Pytorch Imagenet classifier; Udacity Data Science Nanodegree Project-2 Term-1
data-modeling-with-postgres
Building a relational database using simulated songs and users' activities with Postgres.
data-science-blog
Collection of code/examples used in my blog posts on Medium and LinkedIn
DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
DSND_Term1
Contains files related to content and project of DSND
Hr-Dash-Example
A simple and basic walk through in how to build dash apps
identify-customer-segments
This is the unsupervised learning project completed in the Udacity Machine Learning Nanodegree program. A clustering model is derived from German citizen data. This model is then applied to customer data of a mail order company so that likely customers are identified in the general population by comparing clustering distributions.
Abrar2020's Repositories
Abrar2020/abrar
Abrar2020/aipnd-project
Project code for AI Programming with Python ND Program
Abrar2020/blog-posts
This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.
Abrar2020/Create-your-own-image-classifier
Image classifier using Pytorch Imagenet classifier; Udacity Data Science Nanodegree Project-2 Term-1
Abrar2020/data-modeling-with-postgres
Building a relational database using simulated songs and users' activities with Postgres.
Abrar2020/data-science-blog
Collection of code/examples used in my blog posts on Medium and LinkedIn
Abrar2020/DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Abrar2020/DSND_Term1
Contains files related to content and project of DSND
Abrar2020/Hr-Dash-Example
A simple and basic walk through in how to build dash apps
Abrar2020/identify-customer-segments
This is the unsupervised learning project completed in the Udacity Machine Learning Nanodegree program. A clustering model is derived from German citizen data. This model is then applied to customer data of a mail order company so that likely customers are identified in the general population by comparing clustering distributions.
Abrar2020/Identify_Customer_Segments
This project identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns. The data has been provided by Bertelsmann Arvato Analytics.
Abrar2020/ML_project
Abrar2020/NLP-with-Python-and-NLTK-Solutions
This repository stores the solutions to the exercises of Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit
Abrar2020/predict_student_class
Abrar2020/Project-2
Abrar2020/project-3
Abrar2020/Project4
Abrar2020/Udacity-Finding-Donors
Udacity Data Scientist Nano Degree - Project 1 - Finding Donors - Supervised Machine Learning
Abrar2020/Udacity-Project4
Abrar2020/Udacity-project9