Software Engineer at Nike | Java | Spring Boot | AWS | React | REST | KAFKA

github

Yash K.  • Peerlist

The project predicts whether the house prices are above mean value or not. Several parameters such as the number of bedrooms, washrooms, kitchen, etc are considered.

Predicting house prices using neural networks

In this project, we assume that our company develops ios and android apps that are free to download and install. The major factor affecting the revenue of our apps is in-app ads. Our goal for this project is to analyze data to help our developers understand what kinds of apps are likely to attract more users.

The file Basics.ipynb is a jupyter notebook file and can only be opened on that. Please try running it on Jupyter notebook.

Here is a link to online IDE of Jupyter Notebook (https://jupyter.org/try)

I have also attached the dataset used in the form of a .zip file. The CSV file obtained on uncompressing them contains the actual datasets. Download them and specify the path while opening the file.

I have also uploaded it in the form of python code for others.

Profitable App Profiles for the App Store and Google Play Ma

Communication

Engineering

RESTful WebServices

Apache Kafka

Agile Methodologies

Jenkins

Salesforce.com Administration

Troubleshooting

Spring Boot