Data Science and Data Analysis project. These projects are being displayed on Kaggle or Medium.
                      
                      Build a neural network using Pytorch to and then train the network to predict 10 classes of clothes with probabilities.
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                      House price prediction using python programming with a supervised learning model.
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                      Using the machine learning to create a model that predicts which passengers survived on the Titanic shipwreck.
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                                The primary goal of the project is making the exploratory data analysis using numpy, pandas, seaborn and matplotlib library for TMDB movies dataset which is collected between 1960 to 2015
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                                The project attempt to work through predictive analysis in Python to practice how to build a logistic regression model with meaningful variables.
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                                In this projets,work on the preparing the data for logistic regression using absenteeism data which is show the absenteeism at the company during work hour.
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