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injamul3798/README.md

Hi there, I'm Injamul! 👋

I'm a Machine Learning enthusiast specializing in Natural Language Processing, Deep Learning and Computer Vision. I like solving complex problems revolving around data. I am also a secondary Mobile developer!

  • 🔭 I’m currently researching and experimenting on a Computer Vision research paper!

  • 🌱 I’m learning something new every day.

  • 👯 I’m looking to collaborate with other developers for winning Hackathons and Open Source contributions.

  • 💬 Ask me about Coding, Mobile development, and ML-related stuff.

  • ⚡ Fun fact: I love playing cricket. I Love coding and learning new things related to programming.

Connect with me:

shreayan98c.github.io shreayan98c | LinkedIn [shreayan98c | Twitter][twitter] [shreayan98c | Instagram][instagram] [shreayan98c | Kaggle][kaggle]


Languages and Tools:

Python R HTML5 CSS3 Sass JavaScript SQL MySQL Git GitHub Terminal Sublime Text Visual Studio Code




Github Stats:

Injamul's Github Stats

Pinned

  1. Advanced-Threat-Detection-ML-Driven-Intrusion-Detection-Systems-for-Robust-Security Advanced-Threat-Detection-ML-Driven-Intrusion-Detection-Systems-for-Robust-Security Public

    Intrusion Detection and Prevention Systems (IDSs/IPSs) are crucial defenses against evolving network attacks. However, due to a lack of reliable datasets, anomaly-based intrusion detection faces ch…

    Jupyter Notebook 3 1

  2. Fine-Tuning-BERT-for-E-commerce-Text-Classification-A-Multi-category-Approach Fine-Tuning-BERT-for-E-commerce-Text-Classification-A-Multi-category-Approach Public

    In this Kaggle project, we leverage the power of the BERT (Bidirectional Encoder Representations from Transformers) model for fine-tuned multi-category text classification in the context of E-comme…

    Jupyter Notebook 3

  3. Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online Public

    Our web-based diabetes prediction system utilizes machine learning algorithms to analyze various health indicators and predict the likelihood of an individual developing diabetes. By leveraging a u…

    Jupyter Notebook 1 1

  4. Bangla-Newspaper-Categorization-using-ML-models Bangla-Newspaper-Categorization-using-ML-models Public

    In my Bangla news categorization project, I utilized XGBoost for efficient pattern recognition, SVM for handling non-linear relationships, and an ensemble of Random Forest, AdaBoost, and Logistic R…

    Jupyter Notebook 1

  5. Sentiment-analysis-based-on-Corona-Virus-tweet-using-Word2Vec Sentiment-analysis-based-on-Corona-Virus-tweet-using-Word2Vec Public

    I performed sentiment analysis on coronavirus-related tweets from a Kaggle dataset, utilizing Word2Vec embeddings with ML models like XGBoost, SVM, Random Forest, and Logistic Regression. Model per…

    Jupyter Notebook 2

  6. MelanomaDetector-An-AI-Powered-Melanoma-Skin-Cancer-Detection- MelanomaDetector-An-AI-Powered-Melanoma-Skin-Cancer-Detection- Public

    . The proposed application, "MelanomaDetector," utilizes a Convolutional Neural Network (CNN) model, specifically a modified version of the VGG16 architecture pre-trained on the ImageNet dataset, f…

    Jupyter Notebook