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8_week_sql_challenge

Case study solutions for #8WeekSQLChallenge. All solutions were coded in PostgreSQL.

ab_testing

Analysis of A/B test results by an e-commerce company. Application of hypothesis testing to determining whether the company should implement the new web page it developed to increase users' conversion rate.

abc_analysis

Customer segmentation using abc analysis.

automatic_text_summarization

Automatically generate meta descriptions using deep learning.

cash_book

Cash book for recording all cash receipts and payments, including bank deposits and withdrawals.

cleaning_primark_reviews

cohort_analysis

Using cohort analysis to measure customer retention.

credit_card_fraud_detection

Credit card detection fraud using fastai.

crypto-case-study

customer_response_modeling

Predictive modeling of customer response behavior in direct marketing.

demand_prediction

Using machine learning methods to predict demand for bike sharing.

employee_churn_prediction

Employee attrition prediction using ktrain.

free_delivery_threshold

Setting a free delivery threshold.

item-based_collaborative_filtering

Implemented an item-based collaborative filtering recommender system for a given user using Pearson’s R.

k-means_cluster_analysis

Customer segmentation using k-means clustering.

market_basket_analysis

Affinity analysis for market basket recommendation. Implemented using the FP-Growth algorithm.

marketing_analytics

Exploratory and statistical analysis with marketing data.

modelling_customers_lifetime_value

Calculate CLV using the BG/NBD and Gamma-Gamma models.

personal_finance_tracker

Yearly budget worksheet for planning your personal budget. Includes categories for a single person budgeting needs. Ideal for monthly and yearly budget and expense tracking.

price_prediction

Predicting Uber and Lyft fares using ktrain.

price_scraping

product_classification

Build a fastText product classification model that can predict a normalized category name for a product, given an unstructured textual representation.

profanity_detection

Profanity detection using fastText.

rfm_analysis

Customer segmentation using rfm analysis.

sentiment_analysis

Sentiment classification of shoppers' reviews using machine learning techniques.

sms_spam_detection

Build a deep learning spam detection system for sms using ktrain.

telecom_churn_prediction

Customer churn prediction in telecom using machine learning.

text-based_emotion_detection

Emotion analysis of English tweets using machine learning approach.

ticket_classification

Classifying the unstructured customer support tickets using pytorch lightning flash.

toxic_comment_classification

Build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate.