PraneethVasarla/flipkart-recommendation-system PraneethVasarla/flipkart-recommendation-system

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created almost 2 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
PraneethVasarla/flipkart-recommendation-system
github

PraneethVasarla

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Content based system

More Repositories

1

Bitcoin-live-analytics

This project contains the applications of several machine learning techniques like regression, sentiment analysis etc.
Python
4
star
2

Loan-Status-Prediction

This project predicts whether the loan gets approved or not for a person based on his information
Python
3
star
3

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.
Jupyter Notebook
3
star
4

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.
Python
3
star
5

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.
Python
3
star
6

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.
Python
2
star
7

med-bert

An NER model based on bert to identify medical terms from a given text
Python
2
star
8

WNS-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.
Jupyter Notebook
2
star
9

property-recommendation-system

Jupyter Notebook
2
star
10

Bigmart-Sales-prediction

This projects deals with real sales data of bigmart to predict the sales of the organisation
Jupyter Notebook
1
star
11

Graduate-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 predicted
Jupyter Notebook
1
star
12

Black-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!!
Jupyter Notebook
1
star
13

named-entity-recognition-bert

Named Entity Recognition with BERT
Jupyter Notebook
1
star
14

Predicting-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.
Jupyter Notebook
1
star
15

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.
Jupyter Notebook
1
star
16

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.
Jupyter Notebook
1
star