AdityaGogoi/Artificial-Neural-Networks-for-Churn-Modelling

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Created over 7 years ago
Updated over 7 years ago

AdityaGogoi/Artificial-Neural-Networks-for-Churn-Modelling

AdityaGogoi

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Use of Deep Learning with Artificial Neural Networks for analysing the customer churn in a fictional bank.

LSTM-to-predict-Google-stock-prices

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to predict the stock prices of Google.

Notes-on-Python-for-Data-Analysis-2nd-Edition

Notes made on the book Python for Data Analysis, 2nd Edition.

Jupyter Notebook

Item-Based-Collaborative-Filtering-for-Product-Recommendation

To provide product recommendation using the Item Based Collaborative Filtering algorithm in Spark. Please read the PDF for more information about the project.

Predicting-Car-Fuel-Efficiency

Predicting Fuel Efficiency of Cars with Regression Models

Jupyter Notebook

Kaggle-Titanic-Survival-Competition-Submission

Predict survival of a passenger on the Titanic using Python, R, Linear Regression, Logistic Regression, Feature Engineering & Random Forests

Jupyter Notebook

Multiclass-Classification-of-Cars

Classifying Cars By Countries of Origin using its other Features

Jupyter Notebook

Spark-with-Scala-Project

Using the features of Spark with programming power of Scala to crunch large data-sets for data analysis.

Cracking-the-Coding-Interview-Python-Version

This repository contains solutions from Cracking the Coding Interview by Gayle Laakmann McDowell.

Jupyter Notebook

Blog-creation-with-Python-MongoDB-and-Bottle-Framework

Creating a blog website based on Bottle framework using Python as implementation language and MongoDB as database.