injamul3798

Advanced-Threat-Detection-ML-Driven-Intrusion-Detection-Systems-for-Robust-Security

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 challenges in consistent and accurate performance. We've developed an AI-based system for precise intrusion detection

Bangla-Newspaper-Categorization-using-ML-models

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 Regression to collectively enhance precision. This diverse approach ensures robust and accurate classification of Bangla news articles.

Data-Analysis-and-Visualization

This project containing my work on a data visualization project. Leveraging the powerful capabilities of NumPy, Pandas, and Matplotlib, I utilized diverse datasets to create insightful visualizations. This collection showcases my proficiency in handling and presenting complex data through effective use of these essential Python libraries

Determine-PCOS-with-92-93-accuracy

I was practicing ML with some dataset. But for this dataset i gave a lot time .And i found a well accuracy 92%+.

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

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-commerce. Our dataset comprises product descriptions from four distinct categories - "Electronics," "Household," "Books," and "Clothing & Accessories.

Male_female_prediction_Django_with-ML

Through the integration of Machine Learning algorithms in the Django framework, I achieved accurate gender predictions using the Kaggle dataset. The project also showcases the synergy of HTML and JavaScript for a seamless and interactive user experience

Medium-Level-Bank-Management-System-Using-Java

Developed a Java banking application with features including balance inquiry, transaction viewing, inter-account transfers, payee management, and non-listed recipient payments. The Bank Administration section facilitates account creation, fund transfers, withdrawals, and a comprehensive account overview, showcasing a skill set in Java.

MelanomaDetector-An-AI-Powered-Melanoma-Skin-Cancer-Detection-

. 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, for accurate melanoma detection

Sentiment-analysis-based-on-Corona-Virus-tweet-using-Word2Vec

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 performance was evaluated using metrics like accuracy, confusion matrices, and classification reports to discern sentiment in the tweets.

Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online

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 user-friendly web interface, individuals can input their health information.

injamul3798/Advanced-Threat-Detection-ML-Driven-Intrusion-Detection-Systems-for-Robust-Security

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 challenges in consistent and accurate performance. We've developed an AI-based system for precise intrusion detection

injamul3798/Fine-Tuning-BERT-for-E-commerce-Text-Classification-A-Multi-category-Approach

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-commerce. Our dataset comprises product descriptions from four distinct categories - "Electronics," "Household," "Books," and "Clothing & Accessories.

injamul3798/Male_female_prediction_Django_with-ML

Through the integration of Machine Learning algorithms in the Django framework, I achieved accurate gender predictions using the Kaggle dataset. The project also showcases the synergy of HTML and JavaScript for a seamless and interactive user experience

injamul3798/Sentiment-analysis-based-on-Corona-Virus-tweet-using-Word2Vec

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 performance was evaluated using metrics like accuracy, confusion matrices, and classification reports to discern sentiment in the tweets.

injamul3798/Bangla-Newspaper-Categorization-using-ML-models

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 Regression to collectively enhance precision. This diverse approach ensures robust and accurate classification of Bangla news articles.

injamul3798/Data-Analysis-and-Visualization

This project containing my work on a data visualization project. Leveraging the powerful capabilities of NumPy, Pandas, and Matplotlib, I utilized diverse datasets to create insightful visualizations. This collection showcases my proficiency in handling and presenting complex data through effective use of these essential Python libraries

injamul3798/Determine-PCOS-with-92-93-accuracy

I was practicing ML with some dataset. But for this dataset i gave a lot time .And i found a well accuracy 92%+.

injamul3798/Medium-Level-Bank-Management-System-Using-Java

Developed a Java banking application with features including balance inquiry, transaction viewing, inter-account transfers, payee management, and non-listed recipient payments. The Bank Administration section facilitates account creation, fund transfers, withdrawals, and a comprehensive account overview, showcasing a skill set in Java.

injamul3798/Mentorness_ML_internshipProject

I have developed and submitted two comprehensive projects: one focusing on Prediction for Credit Card Approval, showcasing my ability to analyze data and create predictive models, and the other on Sales Forecasting for a Furniture Store, demonstrating my proficiency in forecasting methodologies.

injamul3798/Normal_Neomonia_Prediction-Using-Image-classification

I started working with image data then i practiced it.I totally enjoy working on image data.

injamul3798/Simple-Calculator

This was my second Android Project. Here i have learnt many thing. It was an amazing experience.

injamul3798/StockProject_MLTechnicalTest

The project demonstrates the development of a basic web application using Django framework, combining backend logic with frontend visualization to provide users with a comprehensive platform for managing and analyzing trade data.

injamul3798/Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online

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 user-friendly web interface, individuals can input their health information.

injamul3798/Audiobook_python

Mini project

injamul3798/BDT-to-USD-converter-App

It was my first app project..I was so exited to work on android. Finally .....

injamul3798/Blog_post_django

Firstly i wrote some blog from Django administration and then see it in home page. Further i added comment box to add comment.

injamul3798/MelanomaDetector-An-AI-Powered-Melanoma-Skin-Cancer-Detection-

. 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, for accurate melanoma detection

injamul3798/MultipleBeginnerFlutterProjects

This repository consists of several app based project including TodoApp, Counter App,Calculator App and work on Listview ,grid and many more.

injamul3798/BMI-Calculator

Developed a BMI calculator in Java, incorporating features such as Intent for navigation, ListView for user interaction, and Handler for seamless background tasks. The project demonstrates proficiency in Android development with a focus on user experience and functionality.

injamul3798/CompetitiveProgramming

injamul3798/Compettive_programming_Contest

I have participated those contest. Will add more contest participated answer.

injamul3798/DSA_learning_code

A collection of Data Structures and Algorithms implementations using python programming languages.

injamul3798/flutter_sign_up_day3

injamul3798/Heart_attack_prediction_anylysis_Classification

Recently start working on ML .So i decided to share this code with other.

injamul3798/injamul3798

Myself

injamul3798/ipl_score_prediction

We aim to revolutionize how fans engage with the game, leveraging advanced technology to deliver more precise and insightful predictions.

injamul3798/Object-Oriented-Programming-java-oop-GUI-NOTES-and-small-project-

I found this folder on my computer. So i decided to store this in GitHub for further studies It was my third semester note. I was thinking if I store my note here ,it will be safe and can be useful for people.

injamul3798/Solved-Starters-76-Rated-till-5-Stars-

I solved 5 problems in this contest. It was exciting.

injamul3798/Tensorflow_Learning

injamul3798/YCPC-by-Phitron-1st-Round-Beginner-Level-Contest-1-Solved

I have participated this beginer contest. It was first round of YCPC begineer contest.