Chee Hong Lam's repositories
product_classification
Build a fastText product classification model that can predict a normalized category name for a product, given an unstructured textual representation.
market_basket_analysis
Affinity analysis for market basket recommendation. Implemented using the FP-Growth algorithm.
cohort_analysis
Using cohort analysis to measure customer retention.
customer_response_modeling
Predictive modeling of customer response behavior in direct marketing.
demand_prediction
Using machine learning methods to predict demand for bike sharing.
marketing_analytics
Exploratory and statistical analysis with marketing data.
profanity_detection
Profanity detection using fastText.
sentiment_analysis
Sentiment classification of shoppers' reviews using machine learning techniques.
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.
8_week_sql_challenge
Case study solutions for #8WeekSQLChallenge. All solutions were coded in PostgreSQL.
cash_book
Cash book for recording all cash receipts and payments, including bank deposits and withdrawals.
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.
telecom_churn_prediction
Customer churn prediction in telecom using machine learning.
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.
credit_card_fraud_detection
Credit card detection fraud using fastai.
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.
modelling_customers_lifetime_value
Calculate CLV using the BG/NBD and Gamma-Gamma models.
price_prediction
Predicting Uber and Lyft fares using ktrain.
rfm_analysis
Customer segmentation using rfm analysis.
sms_spam_detection
Build a deep learning spam detection system for sms using ktrain.
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.