Shibli-Nomani
BSc. in EEE and have years of experience as a Teleco Engineer. Besides that, I am enhancing my capability in Data Science, ML, AI and Big Data
Dhaka, Bangladesh
Pinned Repositories
Applied-Data-Science-with-Python-Specialization
This is my learning profile from Basic to Advanced Python For DataScience
django-assignment-20-full-ecommerce
MRI-IMAGE-FOR-BRAIN-TUMOR-CLASSIFICATION-USING-VGG19-and-Fine-Tuned-DENSE-LAYER
"Thrilled to share the incredible performance of my model! With a staggering accuracy of [99.6947%], it showcases exceptional learning prowess.
Open-Source-Models-with-Hugging-Face
Open Source Models With Hugging Face
Project--Matrix-Factorization-and-ALS-using-Apache-Spark-and-Pyspark-for-MovieLens-Data
project--Uber-Fare-Prediction-in-New-York-City-
Apply Different Regression Models to Predict the Fare of Uber in New York
project-01--Heart-Disease
Evaluating the Data Preprocessing, EDA and Different ML performance of HEART DISEASE
project-02-Global-Laptop-selling-diff-ML-Regression
Comparing Different ML Regression Model Accuracy and Performance
project-03-CNN-Street-View-Housing-Number-Recognizing
CNN-Street-View-Housing-Number-Digit-Recognizing with custom CNN
project-04-customer-churn-prediction
customer churn prediction with classification ML models
Shibli-Nomani's Repositories
Shibli-Nomani/MRI-IMAGE-FOR-BRAIN-TUMOR-CLASSIFICATION-USING-VGG19-and-Fine-Tuned-DENSE-LAYER
"Thrilled to share the incredible performance of my model! With a staggering accuracy of [99.6947%], it showcases exceptional learning prowess.
Shibli-Nomani/project--Uber-Fare-Prediction-in-New-York-City-
Apply Different Regression Models to Predict the Fare of Uber in New York
Shibli-Nomani/Applied-Data-Science-with-Python-Specialization
This is my learning profile from Basic to Advanced Python For DataScience
Shibli-Nomani/django-assignment-20-full-ecommerce
Shibli-Nomani/Open-Source-Models-with-Hugging-Face
Open Source Models With Hugging Face
Shibli-Nomani/Project--Matrix-Factorization-and-ALS-using-Apache-Spark-and-Pyspark-for-MovieLens-Data
Shibli-Nomani/aiQuest-Django-BootCamp-2024
The training will consist of five classes, each lasting 2.5 hours, spread over five consecutive days.
Shibli-Nomani/Artificial-Intelligence-for-Cyber-Security
Artificial Intelligence for Cybersecurity leverages advanced algorithms and machine learning techniques to detect, prevent, and respond to cyber threats in real-time, enhancing overall security posture and mitigating risks.
Shibli-Nomani/Deep-Learning-and-AI-Work
Tensorflow, PyTorch, NLP, Deep Learning, CNN, RNN
Shibli-Nomani/Deep-Learning-Specialization
Deep Learning Specialization consists of 5 courses in Coursera
Shibli-Nomani/django-assignment-0010-form-API-models
Shibli-Nomani/django-assignment-0011-form-API-part-02
Shibli-Nomani/django-assignment-0013-form-API-UserCreation-Signup-login-change-password
Shibli-Nomani/django-assignment-0014-website-form-API-sign-login-part-002
Shibli-Nomani/django-assignment-009-models
Shibli-Nomani/django-assignment-08-html-css-bootstrap
Shibli-Nomani/django-assignment-16-myecommerce-products-SignUp-login-logout
Shibli-Nomani/django-assignment-17-myecommerce-change-and-forget-pass
Shibli-Nomani/django-assignment-18-full-ecommerce-add2cart-checkout
Shibli-Nomani/Helmet-Detection-with-YOLOv3
Shibli-Nomani/Mentorness
Batch Name: MIP-ML-11 (Machine Learning Intern)
Shibli-Nomani/MLops---E2E
I am working on E2E deployment work of ML Model
Shibli-Nomani/MLOps-Project-AirTicketPricePrediction
Prepare a CI-CD Pipeline for Air Ticket Price Prediction and Tracking The Scoring for MLops
Shibli-Nomani/Movie-Recommender-System
Shibli-Nomani/my-interview-preparation
Shibli-Nomani/project-Recommender-System-using-MovieLens-20M-Dataset
Shibli-Nomani/project-with-llm-langchain-and-huggingface
Shibli-Nomani/Recommender-System
Building Recommender Systems with Machine Learning and Deep Learning.
Shibli-Nomani/Resume-Filtering-with-NLP
python , NLP, Spacy, NLTK, TfIdf, Count Vectorizer, Gensim Similarity, Cosine Similarity, pyresumeparser
Shibli-Nomani/Shibli-Nomani
Config files for my GitHub profile.