• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago

Reviews

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

Repository Details

Sentiment Analysis on Amazon reviews Dataset

More Repositories

1

Time-series-Analysis-using-LSTM-RNN-and-GRU

Time series Analysis using LSTM,RNN and GRU with pytorch
Jupyter Notebook
32
star
2

BagofWords-Computer-Vision-

1-Bag of SIFT representation and nearest neighbor classifier
Jupyter Notebook
4
star
3

MultiTaskLearning-Multi-label-Classification-using-CNN-

Training a new classification network which should tell the identity label of an image and also be able to classify: ● Gender as Male/Female ● Wearing Glasses/ Not Wearing Glasses ● Smiling/ Not Smiling ● Wearing hat/ not wearing hat ● young/old. As we need 5 outputs from a single input. The custom CNN model consists of NN architecture with 5 heads return my the model. My model performance in Multilabel classification task is totally remarkable.
Jupyter Notebook
2
star
4

Python-Data-Structure

Python Data Structure
Python
1
star
5

Nested-Dictionaries-to-DataFrame

Converting Columns with nested dictionaries to Data frame Separate columns
Jupyter Notebook
1
star
6

Exploratory-Data-Analysis

Exploratory Data Analysis on Complex Data with Different plots Visualization
Jupyter Notebook
1
star
7

Python-Data-Science-work

Python Data Science
Python
1
star
8

90_Animal_detection-using-ViT

The "Animal Detection Using VIT Transformers with 97% Testing Accuracy" project is a focused and achievable initiative aimed at building an accurate animal detection system. Leveraging Vision Transformer (VIT) models, this project is dedicated to the specific goal of achieving a high testing accuracy of 97% in identifying.
Jupyter Notebook
1
star
9

HarrisCornerDetection-Computer-Vision-

Harris Corner Detection with complete implementation.
Jupyter Notebook
1
star
10

FaceVerification-using-CNN-Custom-model

Implementing a model that can verify if two images belongs to same personality or not. Answer the question "Is this the claimed person?" It is a 1:1 matching problem i.e. given a face your task is to compare the candidate face to another and verify whether it is a match or not. My custom CNN model has achieved marvelous performance on the dataset.
Jupyter Notebook
1
star
11

Download-Books-in-python

One can download any book using this code of python
Jupyter Notebook
1
star