imkushwaha/Data_Science_Project_Portfolio

All Projects related to Data Science which i do, I push here with all important files and information.

Data Science Project Portfolio

Repository containing portfolio of data science projects completed by me for academic, self learning, and practice purposes. Presented in the form of iPython Notebooks, and R markdown files.

For a more visually pleasant experience for browsing the portfolio, check out https://uk48762.wixsite.com/kushwaha

For well explanantion of projects done in R Studio, i have done those with the help of Kaggle R-Kernel to show input and output at same place for better understanding.

Project(1): Property Price Prediction

Link:https://www.kaggle.com/imkushwaha/project-property-price-prediction

Project(2): Bank Credit Card Default Prediction

Link:https://www.kaggle.com/imkushwaha/project-bank-credit-card-default-prediction

Project(3): Wine Classification

Link:https://www.kaggle.com/imkushwaha/project-wine-classification

Project(4): Churn Analysis in Telecom Industry

Link:https://www.kaggle.com/imkushwaha/project-churn-analysis-in-telecom-industry

Contents

Machine Learning

Machine Learning in R

Property Price Prediction

A model to predict the price of the property from the dataset having attributes such as sale type, sale condition etc. Identified the best price that a client can sell their house utilizing machine learning.

Bank Credit Card Default Prediction

A classification model using logistic regression to predict the credibility of the customer, in order to minimize the risk and maximize the profit of German Credit Bank.

Wine Classification

A classification model using linear discriminant analysis to classify the wine category from a data set, Which are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars.

Churn Analysis in Telecom Industry

A classification models using decision tree algorithm to predict whether the customer be churned or not on the basis of its billing information and customer demographics.

Machine Learning in Python

Forecasting and Predicting the Furniture Sales

Time Series (ARIMA) to build model to predict and forecast the sales of furniture for the next one year i.e. predict future values based on previously observed values. We have a 4-year furniture sales data.

Teen Marketing Classification

K-means clustering model to classify the interest of teenagers by using various attributes.

Dimensionality Reduction for the House dataset attribute

Using principal component analysis, to reduce the data dimensions for the housing data attributes.

Property Price Prediction With Stochastic Gradient Descent

A a linear regression model with stochastic gradient descent to predict the price of the property from the dataset having attributes such as sale type, sale condition etc.

Good and Bad Customers for Granting Credit

A classification model using logistic regression with stochastic gradient descent to predict the credibility of the customer, in order to minimize the risk and maximize the profit of a bank.

Breast Cancer Prediction

A predictive model using machine learning algorithms(K Nearest Neighbor) to predict whether the tumor is benign or malignant.

Term Deposit Subscription Prediction

Decision Tree, Random Forest/XGBoost/Adaboost models to predict if the client will subscribe to a term deposit.

Bank Credit card Default Prediction

A classification model using support vector classifier to predict the credibility of the customer, in order to minimize the risk and maximize the profit of a bank.

Tools: scikit-learn, Pandas, Seaborn, Matplotlib, Numpy and many more.

If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at upendra.kumar48762@gmail.com