In this report, one subset of image recognition, image classification will be performed to differentiate some medical images like CT scan and MRI scan. The process will include : Data Preprocessing, Model Building, Model Fitting, Model Evaluation, Model Tuning and Conclusion. The objective of this report is to classify medical images obtained from Medical MNIST dataset using the Convolutional Neural Network (CNN) model.

In this report, forecasting and time series analysis would be used to provide a good forecast and seasonality explanation. The process will include : Data Preprocess, Seasonality Analysis, Model Fitting, Prediction Performance, and Conclusion. The objective of this report is to produce forecasting result and seasonality explanation for hourly energy consumption provided by JM Interconnection LLC, a regional transmission organization (RTO) in the United States, that would be evaluated on the next 7 days.

In this report, we are going to develop a customer segmentation to define the marketing strategy for credit card company. To fulfill this objective, an unsupervised learning method, K-Means Clustering will be used. The process includes Data Preparation, Exploratory Data Analysis, Data Pre-Processing, K-Means Clustering, Principle Component Analysis (PCA), and Conclusion.

In this report, we are going to explore movies and TV shows on Netflix. Exploratory Data Analysis and Data Visualization will be performed to give more insights about shows on Netflix. The process includes Data Input, Data Cleansing & Coercion, Data Summary, Data Transformation & Visualization, and Conclusion. The objective of this report is to give insights and interesting statistics about its shows.

Previously, we have answered the bank's problem using Logistic Regression and K-Nearest Neighbor. Now, in this report, we are going to answer the bank's problem using Naive Bayes, Decision Tree and Random Forest. The process includes Data Preparation, Exploratory Data Analysis, Data Pre-Processing, Model Building & Prediction, Model Evaluation and Conclusion.

There has been a revenue decline in the Portuguese Bank and they would like to know what actions to take. After investigation, they found that the root cause was that their customers are not investing enough for long term deposits. So the bank would like to identify existing customers that have a higher chance to subscribe for a long term deposit and focus marketing efforts on such customers. In this report, we are going to answer the bank's problem using Logistic Regression and K-Nearest Neighbor. The process includes Data Preparation, Exploratory Data Analysis, Data Pre-Processing, Model Building & Prediction, Model Evaluation and Conclusion.

In this report, we are going to analyse and predict what are the factors that affect health insurance premium. With that purpose, Linear Regression will be performed. The process includes Data Preparation, Exploratory Data Analysis, Building Model, Prediction & Model Performance, Model Assumption, Alternative Model and Conclusion.

In this report, Exploratory Data Analysis will be performed to give more insights about Video Games Sales. The process includes Data Input, Data Inspection, Data Cleansing & Coertions, Data Summary, Data Transformation & Visualization, and Data Explanation. The objective of this report is to give insights and a possible business recommendation.