Analyzing dataset: https://github.com/pncnmnp/TIMDB

This project is towards the completion of the course COMP6321 - Machine Learning

Test task from FutureComes

PCA, Linear Regression, Multiple Linear Regression, Logistic Regression, Decision Tree, Random Forest

A Machine Learning app created with Streamlit (https://www.streamlit.io/).

Git for the Programming and scripting project 2020

目标检测助手（ObjectDetectionAssistant）：分析数据集各类数量分布，BBox大小分布， BBox比率分布， BBox中心点分布；数据增强

Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.

Customer Service Requests Analysis is one of the practical life problems that an analyst may face. This Project is one such take. The project is a beginner to intermediate level project. This repository has a Source Code, README file, Dataset, Image and License file.

code for generating a high-quality knowledge graph with metadata about datasets and links to publications

A web tool for local dataset browsing and processing developped using the Flask + Angular stack.

Files containing the project about passenger airline satisfaction.

A simple project that creates a dataset of News Headlines with Primary Category, Secondary Category, Date, Day, Month,Year, Sentiment, SentimentPolarity, Emotion and Url. All News Headlines are scraped from punch newspaper and sorted into a csv file.

A repository that gives the learning of machine learning

Python scripts for analyzing the 'Top 250 IMDb TV Shows' dataset. Tasks include EDA, building a TV show recommendation system, sentiment analysis, IMDb rating prediction, and TV show clustering.

collection of google colaboratory notebooks for AI chatbot components-NLP-spell check, entity extraction ,intent identification and classification, custom action,etc

Blip 2 Captioning, Mass Captioning, Question Answering, and other tools.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

A repo for Project 1 of the OSU Bootcamp. This dataset analyzation project focuses on housing, incomes, and employment in the United States.

The project involved exploring and analyzing a real dataset from Kaggle, focusing on the on-time performance of US domestic flights operated by large air carriers in 2015. The primary goal was to create insightful data visualizations that tell a story or highlight patterns in the data.