Minyan's repositories
CustomerSegmentationPredictionforArvato
Build Customer Segments and predict customer responses to marketing campaign for Arvato Financial Services
AB-testing-interactive-display
Mobile Games' User Behavior(User Retention): A/B Testing with Interactive Display Report
AB_Testing
AB testing project examples
course-git-blog-project
Sample repo of a blog for the Git course
CreatADataSciencePostwithCRISPDMProcess
Predict Airbnb Prices in Seattle implementing CRISP-DM(Cross Industry Standard Process for Data Mining)
DSND_Term2
Contains files related to content and project of DSND Term 2
projects_circle
Public repository of materials for workshops and data science projects sponsored by the Projects Circle Team
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
randomised-control-trials-A-B-tests
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
scikit-learn
scikit-learn: machine learning in Python
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
DisasterResponseProject
Build a web application to classify big data of messages into 36 categories that sent to related disaster relief agencies, and help disaster workers to classify new messages.
RecommendationSystemProject
analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations on new articles they will like.
CLV-E2E-Research-to-Production
CLV E2E Research to Production
data_engineering_data_mapping
create mapping between country code and country name. Join two datasets based on country code.
datascience_marketing
Here I'll publish all of my personal projects that relate to Data Science in Marketing
dsai-gate
A Repository consisting resources primarily of the Gate DA and AI
enhanced-llm-reasoning-tree-of-thoughts
Collection of Tree of Thoughts prompting techniques I've found useful to start with, then stylize, then iterate
MoodTracker
MoodTracker: AI-powered mood tracking app. Analyzes daily entries, provides mood feedback, insights, and suggestions based on your emotions. Gain insights into your well-being.
NESC_3505_textbook
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
synesketch_v2.1
Synesketch was the Web’s first free open-source software for textual emotion recognition and artistic visualization. A pioneering work in AI humanization and generative æsthetics, Synesketch was recognized by international art venues, scientific journals and conferences, as well as many organizations and individuals Web-wide.