Popular GitHub Repositories for Pickle

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.

Cyber Bullying Detection Application (CBDA)

Forecast NFL games with machine learning tools in Python

A simple machine learning model deployment example with flask, gunicorn, and Docker

A web app providing the probability that a credit card transaction was a fraudulent one.

Tool for exploring the success rates of various chess openings, utilizes advanced machine learning techniques, including logistic regression and Gemini AI, to provide insights into strategic decision-making in chess. Explore optimal opening moves and predict game outcomes with ease. Elevate your chess strategy today!"

A simple Liver Disease Prediction App built using Streamlit and Machine Learning. This app predicts the presence of liver disease based on health parameters. ??

Sentence Sentiment Analysis

AI-powered developer assistant that can autonomously analyze, modify, and debug code—almost like an AI pair programmer but with deeper project understanding.

write in jupyter-lab

Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información

Prediction of future taxi order request based on 1 year of historical data

Graph embedding approach for classifying metabolic pathways from a metabolic profile

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

Project Objective: To build a feature where a resume is taken as the input and personal, professional, and skill set details need to be extracted into a tabular format. Information like Name, Email, Mobile Number, Skills, Education, and Experience can be extracted. NLP used for information extraction PDF, doc, docx formats supported

A spam classifier is a software or machine learning model that categorizes incoming messages or content as either "spam" (unwanted or irrelevant) or "ham" (legitimate or relevant), using automated techniques.

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