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Bitcoin-live-analytics
This project contains the applications of several machine learning techniques like regression, sentiment analysis etc.Life-Cycle-Prediction-Of-pierce-Punch
This project predicts the life span of a pierce punch used in mechanical manufacturing by using ANN and XGBoost.tiny-nn
Tiny-NN is a lightweight neural network library built entirely in NumPy, designed to help developers understand the nitty-gritty details of neural networks. With its clean and concise code, Tiny-NN offers a great learning platform for those who want to deepen their understanding of the inner workings of neural networks.Real-time-Twitter-Sentiment-Analysis
This project retrieves tweets in real time based on the supplied search term and calculates the sentiment and generates a pie chart. The sentiment is classified as 3 different categories namely positive,negative and neutral.synthesis-vision
SynthesisVision is a multimodal image retrieval system that integrates computer vision and natural language processing (NLP) techniques. The objective is to bridge the gap between visual and textual domains, enabling enhanced image searches.flipkart-recommendation-system
Content based systemmed-bert
An NER model based on bert to identify medical terms from a given textWNS-analytics-wizard-2019-prediction-of-advertisement-impressions
Prediction of advertisement impression by a user on a partner website. It is an imbalanced data and for our model 0.62 was best roc score using XGBoost classifier.property-recommendation-system
Bigmart-Sales-prediction
This projects deals with real sales data of bigmart to predict the sales of the organisationGraduate-Admission-Success-Rate-Prediction
Taking into consideration several factors like CGPA, TOEFL score etc., the admission chance into a graduate programme for a candidate is predictedBlack-Friday-How-much-would-a-customer-spend-
This project deals with a humongous amount of data of more than a half-million entries. The goal is to predict how much would a customer spend on Black Friday, given some of his demographics and some product-level, store level and city level data!!named-entity-recognition-bert
Named Entity Recognition with BERTPredicting-the-gender-of-Indian-Names
In this project, I tried to predict the gender of an Indian name. I have used the Support Vector Machine (SVM) algorithm for this.Bid-Selection-and-resource-allocation
This project assists the user to place bid on a vehicle in an auction basing upon it's various characteristics of the vehicle. The data used for this project is highly imbalanced. So, some data imbalance techniques like synthetic class upsampling are implemented. A front end GUI has also been developed for this project.Credit-Risk-Analytics
The goal of this project is to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. We need to identify the customers segments, those are eligible for loan amount so that we can specifically target these customers.Love Open Source and this site? Check out how you can help us