hussain0048 / deep-learning

This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

Hi there 👋 Dr.Mushtaq Hussain

👋 Greetings! I'm Mushtaq Hussain, a seasoned trainer and Assistant Professor renowned for my extensive experience in both industry and academia. My expertise lies in the dynamic realm of Data Science, where I excel in harnessing the power of Python, MATLAB, RapidMiner, and a comprehensive suite of cutting-edge tools. With a robust background in machine learning and deep learning methodologies, I am dedicated to advancing knowledge and fostering innovation in these transformative fields. Explore my GitHub repository to witness firsthand my commitment to excellence and my contributions to the evolution of data-driven solutions.

💻 My journey in the field of Machine Learning (ML) and Deep Learning has been enriching, marked by hands-on experience and a commitment to innovation. As an Assistant Professor at the Virtual University of Pakistan, I blend practical industry insights with academic rigor to empower the next generation of data enthusiasts.

🔬 Whether it's unraveling complex datasets, building predictive models, or diving into the depths of deep learning architectures, I thrive on the challenge of solving real-world problems through data analysis.

🚀 Let's connect and explore the endless possibilities at the intersection of data and technology!

Language and Tools 🐍

Skills: Python (Kera, Sklearn) / Matlab /

• 🔭 I’m currently working on Developing an AI-based chatbot system for Virtual University using Deep learning and Machine learning
• 🌱 I’m currently learning Time Series analysis using Deep Learning and Machine Learning
• 👯 I’m looking to collaborate on Data Science Research Projects
• 📫 How to reach me: [email protected]
• ⚡ Fun fact: Movies, Basketball

    

✴️: Skills :

1. Programming languages : Python [NumPy, Pandas, Scikit-learn, Keras]
2. Databases: My SQL,
3. Tools : Streamlit , Jupyter Notebook, Google Collab, Pycaret
4. Visualization and Analytical Tools: Tableau, Matplotlib, Seaborn, PowerBI
5. Data Science Skills - Data Preprocessing, Data Visualization , Model Validation, Regression, Classification, Clustering, NLP, Computer Vision