Classification

1. Predicting a Hotel Booking Demand - EDA (Exploratory Data Analysis), Logistic Regression, KNN, Decision Tree Classifier, Random Forest Classifier,Ada Boost Classifier, Gradient Boosting Classifier, XgBoost, Cat Boost, Extra Trees Classifier, LGBM, Voting Classifier, ANN

2. Customer Churn - Customer churn has a big impact on your revenue It is generally thought to cost five times more to gain a new customer than it costs to keep an existing customer, and research out of Bain and Company shows that boosting your customer retention rate by just 5% leads to a profit increase of 25% to 95%

   2-1. Bank Churn - EDA, Logistic Regression, Support Vector Classifier, Random Forest Classifier, Gradient Boosting Classifier, Xtreme Gradient Boosting Classifier, Light Gradient Boosting Machine

   2-2. Telco Churn - Logistic Regression

3. Proper Drug Decision - Decision Tree

4. Multi-Class Classification -- Multi-class classification problems through the classic MNIST dataset (image classification with machine learning). Create a deep neural network that performs multi-class classification. Tune the deep neural network.