Pinned Repositories
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's Repositories
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.