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creditcard_fraud_detection

Explore credit card fraud detection using Scikit-Learn and SnapML on Jupyter Notebook. This project optimizes model performance, addresses warnings, and emphasizes efficiency, providing a hands-on experience in handling real-world challenges. 🚀📊🧠

docu_ai

forward_propagation

Welcome to my GitHub repository exploring forward propagation in neural networks! 🧠 Dive into the IPython Notebook (forward_propagation.ipynb) to understand activation functions, network initialization, weighted sum computation, node activation, and the process of forward propagation. Experiment, expand, and enjoy coding! 🚀

imageprocessing_opencv

Image Processing with OpenCV provides Python-based tools exclusively for image manipulation and analysis, leveraging OpenCV's powerful features for tasks such as resizing, filtering.

imageprocessing_pillow

A versatile Python project utilizing Pillow, NumPy, and Matplotlib for image manipulation and analysis. Explore basic to advanced image processing tasks with ease!

knn-decisiontree

The Jupyter notebook leverages NumPy, Pandas, and Matplotlib for data analysis and visualization, while scikit-learn's preprocessing enhances machine learning model performance. KNeighborsClassifier and DecisionTreeClassifier are applied for classification tasks, with tailored table visualizations aiding in result interpretation. 🐍📊🤖

logisticregression

Welcome to my logistic regression project! Dive into Python implementation covering data preprocessing to model evaluation using scikit-learn. Explore key steps like data normalization, train-test split, modeling, and evaluation metrics for assessing performance. Happy coding! 🚀🤖💻

muizz8

Config files for my GitHub profile.

nlp_with-_huggingface_transformers

rain_prediction_in_australia

Welcome to our 🌧️ Rain Prediction in Australia 🇦🇺 project repository! Here, we utilize machine learning to forecast rainfall across Australia's regions. Explore our Jupyter Notebooks and Python scripts for insights into SVM, KNN, and Logistic Regression algorithms. Let's unravel the mysteries of rain prediction together! 🌦️

regression-models-with-keras

🤖 "Regression_Models_with_Keras" implements regression models using Keras. Predict continuous target variables, leveraging Pandas, NumPy, and Keras. Explore techniques and model performance.

regression_tree

Explore Regression Trees implementation with Scikit-Learn and Pandas for predictive modeling. Learn parameter significance, training techniques, and accuracy assessment for informed predictions. 🌳🐼🚀

svm

Explore SVM (Support Vector Machines) for classifying human cell records as benign or malignant using scikit-learn. This repository showcases SVM's accurate classification through high-dimensional mapping and hyperplane separation. Utilize scikit-learn for seamless analysis. 🤖📊