ruparna25 Goto Github PK

amazon-bestselling-book

char_level_rnn

chatbot_lstm

ChatBot trained on Cornell-Movie-Dailog dataset using TensorFlow. Models used are LSTm and Attention model

eda-food-data

forecasting-grocery-sales

The project does exploratory data analysis and uses multiple forecasting models to forecast grocery sales for next 15 days for a grocery store.

fraud-detection

housing-price-california

image_classification_cnn

Image Classification using PyTorch. Model trained using Convolutional Neural Network

iris_dataset_model

mlp---fashion-mnist---learning

mnist-dataset

moon---decisiontree-classifier

name_generation_using_lstm

olivetti_dataset_unspervised_learning

Some practice handson problem on Clustering

product_matching_using_cnn

Product Matching using Shopee - Southeast Asia and Taiwan based grocery store. Model used are BERT for title matches and EfficientNet for Image Classification

rup

ruparna25

My personal directory

ruparna25.github.io

sales_forecast-time_series

Sales Forecast on Shopee data. Model trained are ARIMA, LGBM, LSTM. LSTM model built using Tensorflow

search_relevance

Measure relevance of search result for CrowdFlower, an ecomerce site. Model trained was SVC

song_popularity_detection

Discord_Kaggle_Challenge- Determining song popularity based on Spotify data. Model used SVC, KNN, XGBoost and LGBM

spam-classifier

stock-prediction

5 years stock data to be analyzed to predict the next year's first 6months stock price

telecom-churn

Predictive Analysis of Telecom Churn

titanic-problem

toxic_comment_classification

tweet_sentiment_analysis

Extracting key word from tweets which best describes the Sentiment of the text

unsupervised_learning