Pinned Repositories
CausalInferenceTimeSeries
Causal Inference for Time Series Data (with CausalML Demo)
causalml_baserlearner_issue
Materials highlighting an error for causalml baseRlearner
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data-Science-for-Marketing-Analytics-Second-Edition
DS775v2
DS775 using Jupyter Notebooks
mta_motivational_examples
mta_pdm_2024_spring
Trend-Py-Sheets-Tab
Google Trends + Python + Google Sheets API + Tableau Public = Full Automation
tweepy
Twitter for Python!
uplift_exploration_capstone
Capstone focuses on meta-learners and demonstrates an end-to-end uplift algorithm validation framework
ThatShelbs's Repositories
ThatShelbs/Trend-Py-Sheets-Tab
Google Trends + Python + Google Sheets API + Tableau Public = Full Automation
ThatShelbs/CausalInferenceTimeSeries
Causal Inference for Time Series Data (with CausalML Demo)
ThatShelbs/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
ThatShelbs/uplift_exploration_capstone
Capstone focuses on meta-learners and demonstrates an end-to-end uplift algorithm validation framework
ThatShelbs/causalml_baserlearner_issue
Materials highlighting an error for causalml baseRlearner
ThatShelbs/Data-Science-for-Marketing-Analytics-Second-Edition
ThatShelbs/DS775v2
DS775 using Jupyter Notebooks
ThatShelbs/mta_motivational_examples
ThatShelbs/mta_pdm_2024_spring
ThatShelbs/tweepy
Twitter for Python!
ThatShelbs/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.