Injamul Haque's repositories
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
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
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.
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%+.
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.
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.
Normal_Neomonia_Prediction-Using-Image-classification
I started working with image data then i practiced it.I totally enjoy working on image data.
Simple-Calculator
This was my second Android Project. Here i have learnt many thing. It was an amazing experience.
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.
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.
Audiobook_python
Mini project
BDT-to-USD-converter-App
It was my first app project..I was so exited to work on android. Finally .....
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.
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
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.
Compettive_programming_Contest
I have participated those contest. Will add more contest participated answer.
DSA_learning_code
A collection of Data Structures and Algorithms implementations using python programming languages.
Heart_attack_prediction_anylysis_Classification
Recently start working on ML .So i decided to share this code with other.
injamul3798
Myself
ipl_score_prediction
We aim to revolutionize how fans engage with the game, leveraging advanced technology to deliver more precise and insightful predictions.
MultipleBeginnerFlutterProjects
This repository consists of several app based project including TodoApp, Counter App,Calculator App and work on Listview ,grid and many more.
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.
Solved-Starters-76-Rated-till-5-Stars-
I solved 5 problems in this contest. It was exciting.
YCPC-by-Phitron-1st-Round-Beginner-Level-Contest-1-Solved
I have participated this beginer contest. It was first round of YCPC begineer contest.