To preform image classification on Rice Leaf Disease images using CNN via various methods.
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Updated
Jul 4, 2024 - Jupyter Notebook
To preform image classification on Rice Leaf Disease images using CNN via various methods.
Cleaning and transforming data using Pandas library
Based on the insights and analysis performed on the Lok Sabha election results of 2024 using the provided CSV file and Python's Pandas library, we can derive several meaningful and significant points which provides a detailed understanding of the election results.
Explorando os dados de empréstimos do sistema de bibliotecas da UFRN
Data Structure and Beecrowd Activities, Activities designed to increase knowledge
Código feito nos encontros aos sábado em que está fazendo análise
Accumulation Data Indonesian Inflation 2020 - 2024
Repository to store sample python programs for python learning
Using Python Machine Learning technique for detecting credit card fraud. Machine Learning techniques like Logistic Regression, Decision Tree , Random Forest techniques were used to predicting the fraud.
10alytics_air_realtor ,a dynamic repository, hosts an AWS-driven data pipeline. Utilizing Apache Airflow, AWS S3, and EC2, it performs efficient ETL operations, extracting comprehensive real estate data from the Realty Mole Property API via RapidAPI. This tool empowers real estate professionals with timely insights for strategic decision-making.
A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.
This data science project aims to perform exploratory data analysis on the impact of the spread of the Coronavirus and help researchers, policymakers, and the general public to learn and better understand the dynamics of the COVID-19 pandemic and make informed decisions for their health and safety.
Conducted in-depth data analysis on a Netflix dataset using Python and the Pandas library. Explored the dataset to understand the distribution and characteristics of TV shows and movies available on Netflix until 2021.
ETL Data Pipeline built using AWS Offerings
This data science project aims to perform exploratory market analysis on the Automotive Market, gleaning insight into consumer preferences and demands, sales trends, and pricing fluctuations and helping automotive dealers and industry professionals better understand consumer preferences and make informed decisions on catering to their needs.
Repository to store python programs for python.
I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
An end to end Data Engineering Project
This contains a data analysis project focusing on Adidas sales in the USA during the years 2020 and 2021.
In this color detection Python project, which you can automatically get the name of the color by clicking on the pixel of the picture
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