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asoiaf-map-visualizations

Map visualizations for A Song of Ice and Fire, or Game of Thrones?

backpropogationusinggradientdescent-python

This code implements Back propagation in Neural Networks using gradient descent in Python.

bay-area-bike-share-python

Time based exploration of bicycle trip data for frequency variation across time, trips by calendar date, time of the day, day of the week using Python libraries like Pandas, Matplotlib, bookeh, scikit-learn. Also, predict the number of daily trips by implementing predictive models such as lasso regression, regression decision tree and boosting

chemicalsimport

This PowerBI Dashboard gives an insights of the imports of various chemicals such as Sulfamic Acid, Oxalic Acid and Caustic Soda Beads

credit-card-fraud-detection

This machine learning algorithm helps to decide whether a transaction is a fraud or a genuine transaction.

data-analysis-with-r-sec-litigations

Analyze the litigation releases and classify the litigations in one of the civil lawsuits category

dynamic-pricing

This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can be structured accordingly to run efficiently on Google Cloud Platform.

game-of-thrones-dashboards-scorecards-and-visualizations

Developed a family tree showing characters of major houses, dead or alive status, also portrayed character’s allegiance, and how he/ she died (if dead) using D3.js. Developed an interactive visualization of timeline showing major events and the death of characters using D3.js. Developed an interactive network visualization of battles of various houses using D3.js. Developed map of battles with the help of SVG using D3.js.

google-adwords

Analyzed data for total impressions, total clicks of advertisement by month and year. Also, evaluated relationship between total impressions and total clicks to analyze key factors for increasing customer conversion.

inventory-control-and-forecast-system

rankingusingreviewsandcategories

Analyzed the reviews and categories to see which dealership is best for buying a car and has been ranked accordingly. The locations has been ranked based on several factors

songrecommendationsystem

It uses Item Based Collaborative Filtering to recommend song based on user listening preferences.

vcassignment

This project helps us to understand insights about the VC Firm's such as their Name, Point of contact in that firm, designation of the point of contact, location, their online presence details (website address), Amount raised etc.