Name: Nelson Tsaku
Type: User
Company: KENNESAW STATE UNIVERSITY
Bio: I am a Data Science enthusiast and strive at gaining insights and providing engineered solutions to potential Analytical questions
Location: Georgia Marietta 30060
Blog: https://www.linkedin.com/in/tsaku-nelson-205636129; https://meritpages.com/tsakunelson
Nelson Tsaku's Projects
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Predicting the success of telemarketing calls for selling bank-long term deposits using classifier models
Secure Software Development Project
Texture-Based Deep Learning for Histopathology Cancer Whole Slide Image (WSI) Classification
Research project implementation of Caps-Net on custom image segmented data
Content_based recommendations
Data cleaning process/algorithm for sample raw data (Bank customers data in this case)
Data Lakes with AWS s3 in Parquet format
Disaster response project with ETL and model deployment applied
Disaster Response pipeline project
Cross compiler that translates FORTRAN code into JAVA code which can further be compiled and executed by the JVM
This repository is used for one of the projects in Udacity's Front-End Web Developer Nanodegree program. Learn how to become a Front-End Developer today with line-by-line code reviewed projects and get a job with career services!
this projects will help me know how to efficiently use github
This is my first github repository
Knowledge based recommendation systems
A Girder plugin to view multiresolution images, using several viewers.
Minimal Lua interpreter in Java programming language
Implement Mini batch gradient descent using a data-set of independent and target points
FunkSVD_Model_based_recommendation_engine
Power BI data and tools
Predicting life expectancy given body mass index using Linear Regression model
A Predictive model to avoid college dropouts
Contains solutions to sample problems in python
This repo is for demonstration purposes only.
Findings from Stackoverflow 2017
Mobile Development Project