pujappathak

Bike-Sharing-Problem

Building a machine learning model for an American Bike Sharing Company which wants to understand : Significant variables in predicting the demand for shared bikes. How well these variables describe the bike demands.

Clustering-Assignment-NGO

Clustering of countries to find 5 countries which are in direst need of aid using K-Means and Hierarchical Clustering.

Credit-Card-Fraud-Detection

Develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

From-the-given-Iris-dataset-predict-the-optimum-number-of-clusters-and-represent-it-visually.

Hello-World

Puja Pathak

IMDb-Movies-Ratings-Analysis

The data has 100 top-rated movies from the past decade along with various pieces of information about the movie, its actors, and the voters who have rated these movies online. I will try to find some interesting insights into these movies and their voters, using Python

Linear-Regression---Medical-charges

Built a Simple Linear Regression and Multiple Linear Regression Model to predict the value of target variable charges

Predict-the-percentage-of-an-student-based-on-the-no.-of-study-hours.

Using Supervised Learning - Linear Regression algorithm, the scores are predicted for given no. of study hours .

Retail-Giant-Sales-Forecasting

To forecast the sales for the most consistently profitable market-segment.

Telecom-Churn-Case-Study

To identify customers at high risk of churn and identify the main indicators of churn.

pujappathak/Retail-Giant-Sales-Forecasting

To forecast the sales for the most consistently profitable market-segment.

pujappathak/Credit-Card-Fraud-Detection

Develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

pujappathak/IMDb-Movies-Ratings-Analysis

The data has 100 top-rated movies from the past decade along with various pieces of information about the movie, its actors, and the voters who have rated these movies online. I will try to find some interesting insights into these movies and their voters, using Python

pujappathak/Linear-Regression---Medical-charges

Built a Simple Linear Regression and Multiple Linear Regression Model to predict the value of target variable charges

pujappathak/Bike-Sharing-Problem

Building a machine learning model for an American Bike Sharing Company which wants to understand : Significant variables in predicting the demand for shared bikes. How well these variables describe the bike demands.

pujappathak/Clustering-Assignment-NGO

Clustering of countries to find 5 countries which are in direst need of aid using K-Means and Hierarchical Clustering.

pujappathak/From-the-given-Iris-dataset-predict-the-optimum-number-of-clusters-and-represent-it-visually.

pujappathak/Hello-World

Puja Pathak

pujappathak/Predict-the-percentage-of-an-student-based-on-the-no.-of-study-hours.

Using Supervised Learning - Linear Regression algorithm, the scores are predicted for given no. of study hours .

pujappathak/Telecom-Churn-Case-Study

To identify customers at high risk of churn and identify the main indicators of churn.

pujappathak/Titanic-Dataset-Analysis

I have performed EDA using the Titanic dataset using various beautiful seaborn plots and drawn some inferences.