Predict the delay of delivery by using logistic regression and random forest

Predict the hospital Re-admitted by using statistical logistic regression and machine learning XGBoost method. The data consist of patients which have diabetes.

Apply machine learning method (SVM) in the healthcare analytic. SVM can be use to classify the patients whether diagnose with diabetes retinopathy. The features of the image data extract as integer/numeric data for prediction.

Using Conjoint Analysis to determine which profile or feature is important based on the rating from respondent during the survey.

Using the GARCH model to predict the S&P 500 stock price and daily return for the next 20 days.

Using the PCA dimension reduction method to reduce the variables of Telco data

Predict the Customer lifetime value so that telco company can target the customers which mostly to churn with high CLTV value.

Create a model from previous campaign data and use the model to predict the score of the customers. Based on the score, marketing can select the top 500 customers have highest probability to subscribe.

Exploratory Analysis on the Telco Customer Churn before perform any predictive analysis

Using the topic modelling method the classify the movies to different topics.

Compare the K-Mean before SVD and after SVD (Singular Vector Decomposition)

Apply Naive Bayes, Decision Tree and Support Vector methods for text classification.

Explore the data by using text analytic. Using WordCloud the visualize the text, using the topic modelling to categorize the related topic. On the same time using some extraction method to visualize which are the occupation and body parts contribute to injury

Using Text Analytic method to analyze which are the terms appear with higher frequency. Using the wordcloud to visualize the terms have higher frequency.

Helping bank to predict the customer to subscribe to a term deposit. It can help bank to implement the target marketing campaign towards customers that have higher predicted probability.

Using the multiple linear regression method to predict the duration of car keep in the inventory. On the same time, can use the information to predict the profit/loss.

Arime model can be using to predict ridership for the public transport.

Study the relation between consumption per capita and interaction between family income and price along with main effects.

Using the logistic regression technique to predict the flight delay

Using logistic regression techniques, train and test set splitting, confusion verification techniques on prediction of customer whether upgrade the credit card.

Explore the data by using geospatial technique and predict the median house value by using the multiple linear regression model

Example of hypothesis test using One Sample Test, Two Sample Independent Test, Pairwised Test.

Prediction of car's price by using car's age. Using the simple linear regression method.

Simple statistical analysis with hypothesis to determine whether Traditional Chinese medicine is effective way to control and manage the Dry Eye.

Simple statistical analysis and data exploration by using the data from the Movies in US.