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My name is Noman Iqbal! and I'm a Software Engineer/Data Scientist. I'm from Pakistan, living in Islamabad, and currently pursuing a master's degree in Data Science. my passion for software lies in dreaming up ideas and making them come true with elegant interfaces. I take great care in the experience, architecture, and code quality of the things I build. I am deeply in love with Artificial Intelligence, Machine Learning, and Data Science.

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If you can dream it, you can do itπŸ”₯

πŸ› οΈ My Favorite Tools

πŸ’» Programming Languages

Python C++ R LaTeX HTML CSS Markdown SQL JavaScript Ruby PHP

🧰 Frameworks and Libraries

Matplotlib NumPy Pandas Plotly Scikit-learn SciPy TensorFlow Keras Pytorch Pytest Bootstrap Asp.net MVC RubyOnRails GitHub Actions

πŸ—„οΈ Databases and cloud hosting

Oracle GitHub Pages PostgreSQL MySQL Heroku MongoDB SQLite

πŸ”§ Software, Technologies and tools

OS-Linux IDE-Pycharm IDE-Visualstudio SPSS SQL Tobii Pro Lab PDP-Anaconda VIDE-JupyterNotebook Tech-MachineLearning Tech-DataScience Tech-DataMining Tech-ComputerVision Gitbash Google Sheets Stack Overflow Visual Studio Code Sublime Text Notepad++ Microsoft Office Microsoft Excel Microsoft PowerPoint


GIF

Boy Scout Rule 🏍️

I love open source. I am not a heavy maintainer of any large libraries, but I really like the boy scout rule. I contribute to things as I come across issues that I think other people might struggle with. These may be things that are overlooked by someone who is deep into the library. I πŸ’• a good onboarding readme with a good example. Moreover, I learned a lot from the open-source community and I love how collaboration and knowledge sharing happens through open-source.

✍ Blog & Writing πŸ“•

Apart from coding, I also maintain a blog - you can find my articles on my website at nomaniqbal.epizy.com as well as on Hashnode.

A sample of my recent articles:

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Noman iqbal's Projects

blog icon blog

my first project in rails

boston-housing-price-prediction icon boston-housing-price-prediction

This project is about predicting house price of Boston city using supervised machine learning algorithms. In this we used three models Multiple Linear Regression, Decision Tree and Random Forest and finally choose the best one. Furthermore, we briefly introduced Regression, the data set, analyzed and visualized the dataset.

data-science-with-r icon data-science-with-r

R is a programming language and software environment for statistical analysis, graphics representation and reporting. This repository includes notes and projects of data science implemented in R.

diabetes-prediction icon diabetes-prediction

In this project, we try to predict whether someone is diabetic or not by using data mining techniques and approaches more accurately by combining the results of various machine learning (ML) techniques particularly K-Nearest Neighbors (KNN).

linearregression-gradesprediction icon linearregression-gradesprediction

Predict Student Grades: Given a data set of 33 attributes for students. There are many attributes but we likely don't want to consider all of them so when trying to predict a students grade trim this data set down so we only have the attributes we need.

logisticregression-breastcancerds icon logisticregression-breastcancerds

logistic regression from scratch using python to solve binary classification problem using breast cancer dataset from scikit-learn. A complete breakdown of logistic regression algorithm.

stock-price-prediction icon stock-price-prediction

Stock Price Prediction using machine learning helps you discover the future value of company stock and other financial assets traded on an exchange. The entire idea of predicting stock prices is to gain significant profits. In this repository we have analyzed the real-time stock prices of different products.

thenomaniqbal icon thenomaniqbal

Hey πŸ‘‹, Glad to see you here! Check out this repository to learn more about me. You can also use it to make your awesome GitHub README ✨ (Don't Just Fork, Star Too) !

traffic-flow-prediction icon traffic-flow-prediction

Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implementing LSTM for traffic flow prediction along with the introduction of traffic flow prediction, Literature review, methodology, etc.

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