Muhammad Abdullah's repositories
responsive-blog-ui
A simple HTML, CSS and JavaScript website for personal blog. Fully responsive and Beautifully designed.
adf-covid19
Data Engineering Project on Covid19 - Using Azure Data Factory and other Azure services like Databricks, HDInsight - End to End ETL along with PowerBI report dashboard
azure-big-data
This is is a Big Data Engineering Project on Azure. Used Data Factory to extract, Databricks to transform and Synapse to load the data. Spark architecture performs Machine Learning operations robustly for classifications. Graphs created through Synapse serverless pool.
azure-connected-vehicles
Automate the tasks of loading vehicle data from the Amazon Web Services S3 storage to Azure Data Lake Gen 2 Storage using Azure Data Factory. Then from Data Lake Gen 2 Storage staging folder, that data will be stored in SQL Database Table.
azure-databricks
Azure Databricks to implement a python notebook that scans the data received and stores it in an Azure storage account. This ensures that the data is cleaned and ready to be processed further. The Data Factory pipeline is triggered using Storage Event function making the entire process fully automated.
bs4-web-scraping
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.
Car-Price-Prediction
A machine learning project where we develop a flask application to predict car price. The model uses Random Forest Regressor to train of certain parameters. We do hyperparameter tuning as well to get best possible results. The web application has an amazing interface where it takes values from user and predicts car prices.
flight-price-prediction
Now you can get Flight ticket fare with this wonderful end to end project.
google-clone
A complete working Google Clone made with React js
heart-disease-prediction
Prediction of Heart Diseases with python using Kaggle dataset. The dataset contains 18 columns each having a parameter for prediction. Different machine learning model such as KNN, XGBoosting, Logistic Regression applied and their confusion matrix drawn. Exploratory Data analysis also provided for visualization and better understanding.
react-food-app
A simple React application to buy and checkout food items. Uses core concepts of react.js such as props, hooks and context api. Fully dynamic as data is fetched and stored from Firebase server.
react-news-app
A simple react application to fetch and display news items using api. Applying all core concepts of react, a terrific project to learn react basics.
google-doc-text-editor-js
A simple HTML, CSS and JavaScript text editor to display different styles of Text. Just like Google Doc text editor.
guess-the-number-game-js
A simple HTML, CSS and JavaScript guess the number game with a slight touch of jQuery as well.
hangman-python
A Hangman Game On Python is about guessing letters (A-Z) to form the words. If the player guesses the right letter that is within the word, the letter appears at its correct position. The user has to guess the correct word until a man is hung, then the game is over.
house-price-prediction
End To End Machine Learning Project to predict the price of houses.
matplotlib-python
Matplotlib is the "grandfather" library of data visualization with Python. It is an excellent 2D and 3D graphics library for generating scientific figures.
numpy-python
NumPy (or Numpy) is a Linear Algebra Library for Python, the reason it is so important for Data Science with Python is that almost all of the libraries in the PyData Ecosystem rely on NumPy as one of their main building blocks.
pandas-python
In this section of the course we will learn how to use pandas for data analysis. You can think of pandas as an extremely powerful version of Excel, with a lot more features.
photography-portfolio-blog
A photography portfolio blog website using HTML, CSS, JavaScript and jQuery.
python-quiz-app
Python quiz application using API.
python-spam-email-detection
Using Python Sklearn to build and train a model that detects spam emails. Exploratory data analysis performed before prediction to give better understanding of dataset. In the end, model accuracy calculated and predictions performed. Web application interface also available for deployment.
react-expenses-app
A simple React.js application to add and display expenses.
read-csv-files
Python program to practice reading CSV files using Pandas library
resistance-calculation-machine-learning
A machine learning and computer vision project to calculate resistor resistance value based on color coding scheme. The project uses cv2 and PIL libraries to train and detect resistance values. The model then predicts resistance on provided dataset.
seaborn-python
Seaborn is a library that uses Matplotlib underneath to plot graphs. It will be used to visualize random distributions.
selenium-web-scraping
Selenium is needed in order to carry out web scraping and automate the chrome browser we'll be using.
send-email
Python program to practice sending emails.
snake-game-js
A simple HTML, CSS and JavaScript snake game. Consist of CSS animations and Score calculation using JavaScript
tic-tac-toe-game-js
A simple HTML, CSS and JavaScript application to play tic tac toe game.