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nimrashahzadi

I am Nimra Shahzadi, A Machine Learning & AI enthusiastic. I love to work with Python on data-driven projects.

🔭 I’m currently working on Python , Machine Learning, Tensorflow, Object Detection, Object Segmentation , other Computer Vision and Cloud Computing related tasks.
🌱 I’m currently learning Computer Vision, Deep Learning Machine Learning and AWS Sagemaker.
I love to write blogs and tutorials related to Machine Learning. Check them out at https://medium.com/@nimrashahzadisa064
👯 I’m looking to collaborate on Machine Learning
💬 Ask me about My Goals
Most Loved Machine Learning Framework: Tensorflow
Want to work with: Advanced Computer Vision
Dream Project: Weapon Detection System
Where I see myself Next year: Making Cool Computer Vision Applications
📫 How to reach me: Connect with me on Linkedlin at here : https://www.linkedin.com/in/nimra-shahzadi-7a7817178/

Nimra Shahzadi's Projects

automobile-dataset icon automobile-dataset

This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars.

chatgpt_ai_assistant_gradio_app icon chatgpt_ai_assistant_gradio_app

Chatgpt AI Assistant Chatbox is same behaved like ChatGPT. Using Enter the any query relate to code or Text, this chatbox gives the Response well. This Project Based on Gradio GUL of Python.

cli icon cli

GitHub’s official command line tool

corona-virus-2023-data-analysis- icon corona-virus-2023-data-analysis-

The WHO coronavirus (COVID-19) dashboard presents official daily counts of COVID-19 cases, deaths and vaccine utilisation reported by countries, territories and areas. Through this dashboard, we aim to provide a frequently updated data visualization, data dissemination and data exploration resource

data-cleaning-5-days-challenge--kaggle icon data-cleaning-5-days-challenge--kaggle

In this challenge we’ll learn how to tackle some of the most common data cleaning problems so you can get to actually analyzing your data faster. We’ll work through five hands-on exercises with real, messy data and answer some of your most commonly-asked data cleaning questions.

dynamic_color_system-using-kmean_clustering icon dynamic_color_system-using-kmean_clustering

Extract dominant colors of an image using Python : K-mean Clustering is one of the most common data analysis techniques. Any image consists of pixels. A pixel contains three values and each value ranges between 0 to 255, representing the amount of red, green and blue components. The combination of these forms an actual color of the pixel.

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