Automatic vehicle license plate detection and recognition is a key technique in most traffic-related applications and is an active research topic in the image processing domain. As a result, different methods, techniques and algorithms have been developed for license plate detection and recognition.
In this project, I visualized and made calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.
Analyzed a dataset of the global average sea level change since 1880 and used the data to predict the sea level change through year 2050.
Visualized time series data using a line chart, bar chart, and box plots. Used Pandas, Matplotlib, and Seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03.
Analyze demographic data using Pandas.A dataset of demographic data that was extracted from the 1994 Census database.
This is a project on Simple Chatbot made on python.
Generated recommendation system for products on an e-commerce website like Amazon.com.
In this project, I have tried to classify garbage under the same categories as provided by the Waste Regulations 2011:- Cardboard, Glass, Metal, Paper, Plastic, Trash
A system that predict the personality of a person with OCEAN values and resume.
In this project, I have prepared a spam detector system that classifies a text as a spam.
In this project, I have predicted a person's death event using some features:- - Age ,Gender , blood pressure, smoke, diabetes,ejection fraction, creatinine phosphokinase, serum_creatinine, serum_sodium, time
In this project, I worked on developing an end to end machine learning project. I did extensive data visualization, performed data feature engineering.
In this project, I worked on a time series problem which is a Stock Price Prediction, on the stock prices of Gold.