lockeycher

data-content-health-score

Modelling health score of individual content assets from Showpad analytics data

data-content-sales-impact

data-customer-health-score

Modeling customer health score from Salesforce data on the account

Advanced-Data-Analysis

Class material for a 10-week summer class.

Advanced-Machine-Learning

Computer-Systems

This is the second part of introductory graduate course on computer systems topics, focusing on operating systems components and their relevance for application programming. Linking, processes, virtual memory, dynamic memory allocation, system level I/O, networking and network programming, concurrent servers and web services.

Database-Technologies

Topics include database implementation and queries in SQL, logical design or relational databases, storage and indexes, database programming, and emerging database models.

Mining-Big-Data

Introduction to fundamentals of distributed file systems and map-reduce technology (e.g., Hadoop); tuning map-reduce performance in a distributed network. Algorithms and tools for mining massive data sets and discussion of current challenges. Applications in clustering, similarity search, classification, data warehousing (e.g., Hive), machine learning (e.g., Mahout).

Neural-Network-Deep-Learning

Code from NNDL book and modifications, homework, quiz and tensorflow keras tutorial.

Programming-Machine-Learning-Applications

Machine Learning coursework including lectures and assignments

lockeycher/Database-Technologies

Topics include database implementation and queries in SQL, logical design or relational databases, storage and indexes, database programming, and emerging database models.

lockeycher/Advanced-Machine-Learning

lockeycher/Computer-Systems

This is the second part of introductory graduate course on computer systems topics, focusing on operating systems components and their relevance for application programming. Linking, processes, virtual memory, dynamic memory allocation, system level I/O, networking and network programming, concurrent servers and web services.

lockeycher/Advanced-Data-Analysis

Class material for a 10-week summer class.

lockeycher/Mining-Big-Data

Introduction to fundamentals of distributed file systems and map-reduce technology (e.g., Hadoop); tuning map-reduce performance in a distributed network. Algorithms and tools for mining massive data sets and discussion of current challenges. Applications in clustering, similarity search, classification, data warehousing (e.g., Hive), machine learning (e.g., Mahout).

lockeycher/Neural-Network-Deep-Learning

Code from NNDL book and modifications, homework, quiz and tensorflow keras tutorial.

lockeycher/Programming-Machine-Learning-Applications

Machine Learning coursework including lectures and assignments

lockeycher/Coursera-Deep-Learning

Deep Learning Specialization on coursera

lockeycher/CSAPP-attack-lab

Solutions for attack lab from Computer System A Programmer's Perspective 3rd edition

lockeycher/Data-Structure

This repository is from my own original work that I have done in my Masters degree program in Computer Science at DePaul University with Prof.Radha Jagadeesan and Prof John Rogers. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne

lockeycher/Data-Visulalization-Web-Development

Data visualization is one of the hottest skills on the job market today. This course teaches the fundamentals including how to make crisp, clear visualizations, how human perception works to interpret information in images, how to use color, and the power of making visualizations interactive.

lockeycher/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

lockeycher/Fundamental-Data-Mining

Fundamental data mining covered: KDD steps, data preprocessing, classification and clustering. Software used is SPSS 24.

lockeycher/Showpad-Internship-Projects