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background-removal-opencv

breast-cancer-prediction

The dataset represents type of Breast Cancer Diagnosis.

character-recognition

Optical character recognition is used to describe algorithms and techniques to convert images of text to machine-encoded text.

consumer-complaint-classification-

The dataset represents consumer complaints about the number of products.

covid19_fakenews

To explore the content of COVID-19 fake news, I use strict definitions of what true and fake news stories are using NLP for visualization of data.

credit-card-ocr

geometric-shape-detection

Detecting Geometrical Shapes in an image using OpenCV

job_recommendation-

Job Recommendation

k_means-clustering-

Shop Customer Data is a detailed analysis of a imaginative shop's ideal customers. It helps a business to better understand its customers. The owner of a shop gets information about Customers through membership cards.

knn_model

On the basis of the mobile Specification like Battery power, 3G enabled , wifi ,Bluetooth, Ram, etc we are predicting Price range of the mobile.

movie-reviews-sentiment

Movie reviews dataset performing preprocessing steps & doing text analysis, after cleaning the data performing ML algorithm on it.

online_payment_fraud_detection

rfm

risk-analytics

The main objective of this project is to Predict the loan eligibility of the customer using machine learning algorithms.

risk_analytics

The main objective of this project is to Predict the loan eligibility of the customer using machine learning algorithms.

sql-exercise-for-data-analytics

These SQL programming exercises are suitable for all SQL developers and who are looking for transition in data analytics. If you are a beginner, you will have a better understanding of SQL after solving these exercises.

superstore-sales-analysis

voter_id-card-tampering-using-flask-deployment

This project is TAMPERING OF VOTING CARD using Computer Vision. It will help different organization in detecting whether the id i.e the voting card provided to them is original or not.