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MUSKAN MAHAJAN's Projects

ai_curriculum icon ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

ai_supply_chain icon ai_supply_chain

This is the code for "AI for Supply Chain" by Siraj Raval on Youtube

airbnb-price-prediction icon airbnb-price-prediction

Airbnb is one of the fastest growing companies and has been increasing it's user base rapidly. Airbnb’ing continues to expand in popularity among both leisure and business travelers. Airbnb gives independence to the host to price their listing. This provides interesting use cases to solve for both the hosts as well as the guests. I took up two use cases 1) Predicting competitive price for a listing based on the characteristics of the listing which helps the hosts when they enter the market. 2) Forecasting prices of listings based on the multivariate time series data to help the guests plan their trip and accommodation. The tasks performed in implementing the project are: 1. Exhaustive Data Exploration, Data preprocessing and Data Wrangling of the Airbnb dataset. 2. Used Ensemble models such as Random Forest, XGBoost and LightGBM for price prediction. Also used Ridge Regression and KNN. Computed Median Squared Error and Mean Squared Error of the test data. 3. Performed hyperparameter tuning on all 5 models using ARC(A Root Cluster for Research into Scalable Computer Systems) and the results showed a marked improvement. 4. Used Arima (AutoRegressive Integrated Moving Average) and BSTS (Bayesian Structural Time Series) to capture the seasonal effects and trends in the data which helped in forecasting the prices of the listings with great accuracy.

aircnc icon aircnc

AirCnC desenvolvido na Semana Omnistack 9 da Rockeseat

aircotini icon aircotini

Download tracklogs from Aircotec flight recorders

airfare_prediction_and_classification icon airfare_prediction_and_classification

A machine learning exercise presenting a simple model for (1) prediction of airfares from the data contained in the search query using linear support vector regression implementation sklearn.SVM.LinearSVR and (2) classification of flight itinerary search results by likelihood the returned fare will ultimately be purchased by the consumer, using simple Naive Bayes implementation in sklearn.

airy icon airy

💬 Open source conversational platform to power conversations with an open source Live Chat, Messengers like Facebook Messenger, WhatsApp and more - 💎 UI from Inbox to dashboards - 🤖 Integrations to Conversational AI / NLP tools and standard enterprise software - ⚡ APIs, WebSocket, Webhook - 🔧 Create any conversational experience

alameda icon alameda

AMD loader, like requirejs, but with promises and for modern browsers

alcatraz icon alcatraz

The product is developed as a part of the final year project. It is aimed at providing an architecture and open source code to developers so that they can embed this into their applications to enhance the security. The services provided are top notch and cover the broad spectrum of computer and network security. All the features of the product involve the application of Data Mining and Machine Learning techniques onto the domain of Computer Security.

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