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Project Development: Machine Learning, Data Analytics, and Data Science
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Home
Our Courses
All Courses
Career Tracks
Career Track-based Courses
Big Data, Machine Learning, and Data Science
Cloud Administration and Engineering
System Administration in Linux and Unix
CMS - Content Management System
CISCO Certifications
Full Stack Web Development
Project and Program Management
Mobile Application Development
Front End Developer
Software Testing
Communications
Java, Java EE
C# - C Sharp
Miscellaneous Videos
Active-Programs
Bronze: Data Science, Analytics, AI, and Machine Learning
Silver: Data Science, Analytics, AI, and Machine Learning
Gold: Data Science, Analytics, AI, and Machine Learning
Platinum: Data Science, Analytics, AI, and Machine Learning
Subscribe (LMS Wide)
Live-Courses
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পাঠ্যক্রমসমূহ
Project Development: Machine Learning, Data Analyt...
Future Research by extending the project
How the assets inside an Investment Portfolio affe...
How the assets inside an Investment Portfolio affecting the investment return.
সর্বশেষ পরিবর্তন: Sunday, 10 November 2019, 10:22 AM
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যান
যান
Data Science Project Development: A high level and step by step demonstration.
Statistics for Data Analytics and Machine Learning Projects
Statistics: McNemar’s Test
Data Analytics Project: Problem Framing and Project Lifecycle
Inductive and Deductive Methods for Data Analytics Projects
Data Requirements for Data Analytics Projects
Make Sense of your Data: For Data Analytics Project
Initial and Exploratory Analysis for Data Analytics Projects
Initial Analysis of Text and Image Data (Data Analytics and ML Projects)
Dimensionality Reduction
Factors/Variables to Consider For Experimental Design for Data Analytics Projects
Experimental Design Examples (Data Analytics Projects)
Model Selection for your Project
Model Selection
Possible Data Analytics Project Goals
Threat To Validity for Your Data Analytics Projects - 2
Threat To Validity for Your Data Analytics Projects
Reporting your Project Outcome
Important Basic Concepts: Statistics for Big Data
Part 1: Some Math/Stat Background that (true) Data Scientists will know/use: from the internet
Methodology Image
Link to the In-Progress Presentation Slides
Can you answer these questions on Data Science Project Development
Questions to Answer for Data Science Project Development
A Github repo that contains related resources
Poster Presentation for the Project
Python code for one of the small components of the project
Alpaydin: Introduction to Machine Learning
Keep adding your questions here to answer at the end of the session
NHANES: Survey Data Files: CSV Format
Exploratory Analysis: Regression with Excel
Factor Analysis as Part of Exploratory Analysis
Factor Analysis with Transposed Data
Experimental Design: An Example
Images from the Project: Dataset, Exploration, Methodology, Experiment, Result
ACR Value Prediction from Dietary Data
Association of Mortality/Survival of CKD patients with Dietary Patterns
Association of Blood Pressure measures with Dietary Pattern
Sample Python Code for Exploratory Analysis
Experiment, PCA, and Regression on PCA outcome to find the final association
On Medium, I did put couple of notes
Database (tables, stored procedures) used for the exploration phase
Database (Tables, Stored Procedures) as used for the Experiment and Result Phase
Chat with the Participants
Short Workshop on Project Development: Machine Learning, Data Analytics, and Data Science
Discuss the Workshop Topics