I try to make predictive model whether a person can survive titanic accident with titanic dataset. The model I use is Logistic Regression.

Unsupervised machine learning analysis with PCA and clustering method. After that, exploratory data analysis and profiling was done to get insights for budget allocation to develop cities in Argentina.

Classification with Naive Bayes, Decision Tree, and Random Forest models to predict whether a mushroom is edible or poisonous.

Logistic Regression and K-NN Prediction Model on Heart Patients Dataset

Machine Learning with Simple Regression Model to predict house prices

Machine learning with simple regression model to predict admission on university

Analysis US Youtube Dataset

Exploratory Data Analysis for Retail Dataset

Exploratory Data Analysis with Base R and Visualisation with ggplot2

Exploratory Data Analysis for Bank Dataset with Base R