jailukanna's Projects
Pythonlife
Creates PostgreSQL DB with tables in the star schema. Then it loads data from JSON files into the DB. It was created using an online workspace.
Startup news scraping and classification
This NLP project will extract keywords from the news articles using TF-IDF algorithm.
Training and fine-tuning YOLOv4 Tiny on custom object detection dataset for Taiwanese traffic
Prediction using Unsupervised ML
Project containig related material for my TensorFlow articles
Text classification is a supervised learning problem in machine learning. To solve a text classification problem, we perform 4 steps includes dataset preparation, feature engineering, build model, improve model, and improve performance.
The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply unsupervised clustering algorithms to explore and summarise the contents of the corpus. Part 1. Text Data Scraping This part of the project should be implemented as a Python script 1. Identify the URLs for all news articles listed on the website: http://mlg.ucd.ie/modules/COMP41680/news/index.html 2. Retrieve all web pages corresponding to these article URLs. 3. From the web pages, extract the main body text containing the content of each news article. Save the body of each article as plain text. Part 2. Corpus Exploration Tasks to be completed in your IPython notebook: 1. Load the text corpus generated in Part 1. Apply any appropriate pre-processing steps and construct a document-term matrix representation of the corpus. 2. Summarise the overall corpus by identifying the most characteristic terms and phrases in the corpus. 3. Apply two alternative clustering algorithms of your choice to the document-term matrix to produce clusters of related documents. This might require applying each algorithm several times with different parameter values. 4. For each clustering generated in Step 3, summarise the contents of the clusters. Based on your summary, suggest a topic/theme for each cluster.
Collected a labelled news corpus: Identified the URLs and category labels for all news articles listed on the website provided, retrieved all web pages corresponding to the article URLs.
:mag_right: Get keywords from a piece of text using tf-idf
An example of using Tensorflow with Unity for image classification and object detection.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Timetable View Generator
Little web app for uploading & managing documents on ec-x49
This task aims to fetch Top 5 articles from internet and show related keywords, titles with it.
A list of popular github projects related to deep learning
A model based on LDA Topic Modelling to find Topic words and keywords of Privacy Policies (Text).
Data Analysis of Road Traffic Accidents to Minimize the rate of accidents
A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.
A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.
An Image Processing and Computer Vision based traffic rules violation detection system from CCTV camera footage (including GUI App).
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent