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100days

100 days of algorithms

2019_practice__ab_testing

AB Testing analysis from Udacity, including determining the experiment size and analyzing the results.

2019_practice__distribution_python_package

a small practice for building python package

2019_practice__web_development

full stack data dashboard practice

2019_practice_machine_learning_related

Small programs that mimik pieces in machine learning algorithms

2019_project__boston_airbnb_data_exploration

Exploration on the Boston Airbnb Data

2019_project__disaster_response_pipeline

Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication

2019_project__quickmatplotlib

wrapper around matplotlib and seaborn according to my visualization habit in python to make creating graphs faster

2019_project__regressionanalysis

2019_project_reviewminer

Text analysis on customer reviews

2020_project__customer_segmentation_and_campaign_response_prediction

☕️Customer segmentation to identify the parts of the population that best describe the core customer base of the company; Predict which individuals are the most likely to respond to the company's mail campaigns.

2020_project__music_streaming_app_churn_prediction

Churn prediction for a fictional music streaming app with pyspark mlib

2020_project__recommendation_algorithm

Recommend Articles for users on IBM Watson Studio platform using methods such as user-user based collaborative filtering and matrix factorization

2020_project__starbucks_ad_campaign_optimization

Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to optimize the profit from ad

2020_project__starbucks_reward_response

Use transaction, demographic and offer data to determine which demographic groups respond best to which offer type and possible ways to use historical data to reduce ad spending

2021_project__mmm

2021_project__reviewminer

a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis

ab-framework

Notes and Python scripts for A/B or Split Testing

advanced-ml-fall-17

Repository for the GR5242 course

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

ar

ar1

article-for-datartisan

Weekly article for Datartisan.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-dash

A curated list of awesome Dash (plotly) resources

backlinksviewer

Ingeset backlinks data from Majestic and visualize the links network in Neo4j (with Neo4j community server)

bc

bda-3

Material for Bayesian Data Analysis Book of the Quarter