Pinned Repositories
Algorithmic_toolbox
Greedy algorithms, divide and conquer strategy and dynamic programming approaches for building scalable data products.
ASX-200---Ploty-visualisation
A Plotly data visualisation with update menu and two traces for the ASX 200 data.
awesome-deep-learning-papers
The most cited deep learning papers
Capture-Platform-Event-Logs
The scripts establishes connection and inserts platform event logs in a JSON file to a MySQL database
course
The Hugging Face course on Transformers
Credit-Risk-Analysis
The project aims to create a binary classification model that can accurately classify credit risk case and non-credit risk case.
FinancialNewsSummariser
Ingest financial news data in real-time using Kafka publisher subscriber. Summarise the news and send alerts to the user to support investment decisions.
FlightTravelAnalytics
A Scala based Apache-Spark project for data processing and analysis
folium
Python Data. Leaflet.js Maps.
Forecasting-GDP-of-Australia
Forecasting GDP of Australia based on economic indicators that substitute the GDP formula (GDP= Consumption or Consumer spending (C) + Government spending (G) + Investment of country (I) + Business capital expenditures (NX)).
AbishekArunachalam's Repositories
AbishekArunachalam/Algorithmic_toolbox
Greedy algorithms, divide and conquer strategy and dynamic programming approaches for building scalable data products.
AbishekArunachalam/ASX-200---Ploty-visualisation
A Plotly data visualisation with update menu and two traces for the ASX 200 data.
AbishekArunachalam/awesome-deep-learning-papers
The most cited deep learning papers
AbishekArunachalam/Capture-Platform-Event-Logs
The scripts establishes connection and inserts platform event logs in a JSON file to a MySQL database
AbishekArunachalam/course
The Hugging Face course on Transformers
AbishekArunachalam/Credit-Risk-Analysis
The project aims to create a binary classification model that can accurately classify credit risk case and non-credit risk case.
AbishekArunachalam/FinancialNewsSummariser
Ingest financial news data in real-time using Kafka publisher subscriber. Summarise the news and send alerts to the user to support investment decisions.
AbishekArunachalam/FlightTravelAnalytics
A Scala based Apache-Spark project for data processing and analysis
AbishekArunachalam/folium
Python Data. Leaflet.js Maps.
AbishekArunachalam/Forecasting-GDP-of-Australia
Forecasting GDP of Australia based on economic indicators that substitute the GDP formula (GDP= Consumption or Consumer spending (C) + Government spending (G) + Investment of country (I) + Business capital expenditures (NX)).
AbishekArunachalam/Image-Captioning--Deep-Learning-model
Automatic labelling of images by using a combination of Convolution Neural Network (CNN) to identify objects in the images and Long-short Term Memory (LSTM) a variant of Recurrent Neural Network(RNN) for labelling of images.
AbishekArunachalam/Image-classification-with-Convolutional-Neural-Network
The project involves working with the famous Mnist fashion dataset to classify clothes in each category using Convolutional Neural Networks (CNN). In the part-1, transfer learning is performed by using the RESNET-50 model weights from the Keras package and classify the images. In part-2, CNN model is build from scratch by stacking layers and training on the dataset.
AbishekArunachalam/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
AbishekArunachalam/GenerativeAIWithLLM
Fine tuning LLM on custom dataset using memory efficient fine-tuning and soft prompting
AbishekArunachalam/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
AbishekArunachalam/R-Python-cheatsheet
AbishekArunachalam/reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
AbishekArunachalam/rstudio2019
Resources from my Rstudio::conf 2019 talk
AbishekArunachalam/Vanilla-Neural-Network
This project aims at developing a vanilla neural network from scratch using NumPy arrays and matrix operations.
AbishekArunachalam/Vessel-Journeys-RShiny-Visualisation