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h02lawal/README.md

Hi there, I'm Hafiz Ayodeji Lawal 👋

I hold a Bachelor of Science (B.Sc.) degree from The University of Manitoba 🎓, where I focused on Computer Science, Statistics, Mathematics, and Biology.

I am also a self-taught Data Scientist and AI enthusiast, passionate about Machine Learning, Deep Learning, and Natural Language Processing (NLP).

🚀 Technologies & Tools I Use:

Python TensorFlow Scikit-Learn Pandas NumPy Matplotlib SQL

📌 Projects I've Worked On:

  • 🌦 Weather Prediction Model:
    • Used 37 features from historical city data (1970–present) to predict the next day's average temperature.
    • The model can be adjusted to predict multiple days ahead with minor modifications.
  • 📊 Sentiment Analysis on IMDB Reviews:
    • Trained a model on an IMDB dataset of labeled words/word embeddings to classify reviews as positive or negative.
    • Leveraged NLP techniques to extract sentiment patterns from text.
  • 🖼 CIFAR-10 Image Classification:
    • Built a model to classify images into one of 10 categories: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck.
  • ✍ MNIST Handwritten Digit Recognition:
    • Developed a model to recognize and classify handwritten digits from images.
  • More Projects Coming Soon:
    • I continuously work on new projects and update my repositories for anyone interested.

📊 GitHub Stats & Activity:

📌 Programming Languages:

  • Primary Language: Python 🐍 (Used for Data Science & AI Projects)
  • Other Languages: C, C++, Java, HTML, CSS, JavaScript, PHP, SQL and C#(I've used this a little bit)
  • AI/ML Libraries & Tools: TensorFlow, Scikit-Learn, NumPy, Pandas, Matplotlib

📊 Data Science & AI Skills:

Machine Learning (Supervised & Unsupervised Learning)

Deep Learning (CNN, RNN, Transformers, etc.)

Natural Language Processing (NLP)

Feature Engineering & Model Optimization

Data Visualization (Matplotlib, Seaborn, Tableau)

Big Data & SQL Databases

I leverage AI-assisted tools, such as ChatGPT, to break down complex problems and streamline debugging processes.

🤝 Collaboration & Interests:

I'm interested in collaborating on projects related to:
✅ Data Analysis – uncovering patterns in data
✅ Predictive Modeling – making data-driven forecasts
✅ Machine Learning Applications – solving real-world problems

📬 Let's Connect!

📧 Email: [email protected]
I check my email frequently, so feel free to reach out, and I'll get back to you shortly!

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  1. CIFAR10_EfficientNet_Architecture CIFAR10_EfficientNet_Architecture Public

    I created a CNN that predicts images based on the CIFAR-10 dataset, which is a dataset that contains images that fall into 10 categories, It uses the EfficientNet Architecture and has a training ac…

    Jupyter Notebook

  2. City-Temperature-Prediction City-Temperature-Prediction Public

    I was able to build a RNN model that can predict the next day temperature from 37 features which are from the city weather data report, I was able to do this with the help of ChatGPT

    Jupyter Notebook

  3. IMDB-Review_Predicition IMDB-Review_Predicition Public

    I built a RNN that predicts if a review is either positive or negative, it uses labeled data from IMDB to predict reviews with a training accuracy of over 97%, I was able to do this with the help o…

    Jupyter Notebook

  4. ResNet-Architecture ResNet-Architecture Public

    I was able to learn the ResNet Architecture for CNN's which uses skip connections, and with the help of ChatGPT I built a model that can be used to make predictions better

    Jupyter Notebook

  5. CIFAR-10.ipynb CIFAR-10.ipynb Public

    I created a CNN that can predict images that fall into one of 10 categories with the help of chatGPT

    Jupyter Notebook

  6. DenseNet-Architecture DenseNet-Architecture Public

    I created a Convolutional Neural Network and optimized it using the DenseNet Architecture, I did this with the help of ChatGPT

    Jupyter Notebook