• Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created 7 months ago
  • Updated 7 months ago

Reviews

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

Repository Details

More Repositories

1

Embed-Power-BI-Report-in-Python-Iframe

HTML
29
star
2

Embed-PowerBI-in-Python

In this repo I will show you how to embed your Power BI report in Python Jupyter Notebook
Jupyter Notebook
6
star
3

Streamlit-Pneumonia-Detection

A streamlit design for Pneumonia detection using computer vision.
Python
3
star
4

Data-Transformation-using-Azure-Databricks

Indepth use case of Azure Data Factory, Databrick and PySpark
Jupyter Notebook
3
star
5

glaucoma-detection-using-GLCM-features-on-matlab-and-python-

How to detects Glaucoma using matlab neural network and python keras
Python
2
star
6

Twitter-SQL-Analysis

2
star
7

Reddit-Sentiment-Analysis

Jupyter Notebook
2
star
8

FAKE-CURRENCY-DETECTION-USING-CNN

APPLICATION OF TRANSFER LEARNING TO CLASSIFY BETWEEN FAKE AND ORIGINAL CURRENCY
1
star
9

Spotify-Data-Analysis

Jupyter Notebook
1
star
10

Breast-Cancer-Classification

Classification Of Different Cancer Stages
Jupyter Notebook
1
star
11

Haralick-Texture-Feature-Extraction-using-GLCM-technique

Increased number of features to increase model accuracy
MATLAB
1
star
12

Stroke-analysis-using-PowerBi-and-Python-

Analysis of stroke using powerBi dashboard.
Jupyter Notebook
1
star
13

Web-Scrapping-and-Sentiment-Analysis-using-Twint-Library

Twint makes use of Twitter's search operators to allow you to scrape Tweets from specific individuals, scrape Tweets referring to specific themes, hashtags, and trends, and sort out sensitive information like e-mail and phone numbers from Tweets.
Jupyter Notebook
1
star
14

Sentiment-Analysis-with-Tweety-Transformer

This a full sentiment analysis project that will involve the use of the Twitter API and Transformer Library for neural network
Jupyter Notebook
1
star
15

ROCK-AND-MINE-CLASSIFICATION

An AI model using tensirflow to get the accuracy of rock and mine dataset
Jupyter Notebook
1
star