rajaharsha

AB-Test-Ecommerce-Website-Conversion-Metrics

Algorithm-Trading

Algorithm-Trading using Python

Amazon-Product-Recommendation-CF-ALS-Spark

We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.

Amazon-Sales-Reviews-Visual-Dashboard

Aim of this project is to analyze Amazon sales data over a period and create a visualization dashboard which helps business users to draw key insights. Often Ecommerce companies assess their business trends in various sales segments and make decisions with the help of results from sophisticated visualization platforms. The author analyzed the data obtained from the Amazon product metadata, transactions dataset to produce some interactive visualization using D3.js, HighCharts.js and AnyCharts.js to show summarized results over the years. SentenTree is a new novel visualization tool used for visualizing unstructured data like tweets is applied in context of user reviews and results are observed.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

Multi-Step-Time-Series-Forecasting-Using-LSTM-Networks

TimeSeriesAnalysis, PredictiveModeling

Wide-Deep-Neural-Networks

Wide & Deep Neural Network is an interesting new model architecture for ranking & recommendation, developed by Google Research. It uses Logistic Regression & Deep Learning in a single model.

rajaharsha/Amazon-Product-Recommendation-CF-ALS-Spark

We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.

rajaharsha/Multi-Step-Time-Series-Forecasting-Using-LSTM-Networks

TimeSeriesAnalysis, PredictiveModeling

rajaharsha/Wide-Deep-Neural-Networks

Wide & Deep Neural Network is an interesting new model architecture for ranking & recommendation, developed by Google Research. It uses Logistic Regression & Deep Learning in a single model.

rajaharsha/AB-Test-Ecommerce-Website-Conversion-Metrics

rajaharsha/Algorithm-Trading

Algorithm-Trading using Python

rajaharsha/Amazon-Sales-Reviews-Visual-Dashboard

Aim of this project is to analyze Amazon sales data over a period and create a visualization dashboard which helps business users to draw key insights. Often Ecommerce companies assess their business trends in various sales segments and make decisions with the help of results from sophisticated visualization platforms. The author analyzed the data obtained from the Amazon product metadata, transactions dataset to produce some interactive visualization using D3.js, HighCharts.js and AnyCharts.js to show summarized results over the years. SentenTree is a new novel visualization tool used for visualizing unstructured data like tweets is applied in context of user reviews and results are observed.

rajaharsha/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

rajaharsha/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

rajaharsha/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

rajaharsha/Customer-Pricing-Analysis-Proposal

rajaharsha/D3-Information-Visualization

rajaharsha/deepschool.io

Deep Learning tutorials in jupyter notebooks.

rajaharsha/Diabetes-Prediction

rajaharsha/Diet-Sleep-Tracker-ResponsiveWeb-MobileApp

Sleep Tracker Web Application

rajaharsha/Finding-Charity-Donars-Using-Supervised-ML

Apply Supervised ML algorithms to identify the donars for a charity program using US census data.

rajaharsha/Forecast-Temperature-Rise

rajaharsha/GPU-CUDA-Programming

rajaharsha/HACKU5

SPECTRE_HACKU5

rajaharsha/Hampton-Roads-Accident-Analysis

Developed a visual reporting system to identify key reasons for Bike Accidents in Hampton Roads area. A reporting system is developed using Google Maps, GeoJson, D3.js, HighCharts.js, Tableau and hosted the reports on a website hosted in AWS.

rajaharsha/Interactive-Visualization-Python-Bokeh

Python Interactive Visualizations

rajaharsha/Machine-Learning

rajaharsha/Natural-Language-Processing

rajaharsha/Python-Socket-Programming

Various network requests and performance measurements are implemented through Socket Programming in Python.

rajaharsha/Spark-Examples

rajaharsha/Stack-Over-Flow-Mockup-Website

A complete Question & Answer portal named "Questra" with similar features in StackOverFlow website.

rajaharsha/Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

rajaharsha/Tableau-Data-Visualization

rajaharsha/Time-Series-Forecast-ARIMA-Prophet

rajaharsha/Visualize-Large-Social-Networks-Python

rajaharsha/Wholesale-Customer-Segmentation