Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

🧙 Bitcoin Hodl Prophet

Machine learning and data analysis package implemented in JavaScript and its online demo.

autoupdate paper list

Developed a deep learning model utilizing TensorFlow to automate the classification of financial documents. Leveraging a Bidirectional LSTM RNN, we accurately categorize the documents. Our user-friendly Streamlit application ensures high accuracy & efficiency in document management, all deployed on the Hugging Face platform for seamless integration

The main idea for this project is explore a Kaggle dataset about ChatGPT reviews using a NLP approach in order to apply ML models for score reviews predictions. I applied LIME algorithm to evaluate explainability about text classifiers. Should it be possible to apply complex network? Let's try.

📊 R Programming Fundamentals: An In-Depth Guide with Comments

XGBoost is an open-source machine learning library that provides efficient and scalable implementations of gradient boosting algorithms. It is known for its speed, performance, and accuracy, making it one of the most popular and widely-used machine learning libraries in the data science community.

Prediction of Academic success using the automated machine learning tool : H2O AutoML

The official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.

The primary objective is to develop a Profile Hidden Markov Model (HMM) for the Kunitz-type protease inhibitor domain. These domains are functional regions of proteins that inhibit proteolytic enzymes, including notable examples such as aprotinin (BPTI), Alzheimer's amyloid precursor protein (APP), and tissue factor pathway inhibitor (TFPI).

Open source Python library for building bioimage analysis pipelines

The Machine Learning Module

AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.

Functional Data Analysis Python package

版面分析 | 表格识别 | 文档方向分类

We write your reusable computer vision tools. 💜

Knowledge Is Power is a data analysis and prediction tool leveraging U.S. Census data to provide insights into societal topics. Utilizing machine learning, specifically MATLAB's classification learner, the project predicts educational attainment based on income and offers interactive visualizations of veterans' data.

A deep learning model created to classify the movie reviews as positive or negative.

Statistical Machine Intelligence & Learning Engine