aniruddhachoudhury
I am a Senior Data Scientist . Love to play with data finding new patterns and Business solutions with the power of Artificial Intelligence.
American ExpressBangalore,India
Pinned Repositories
-Minimization-of-Churn-Rate-by-Analysis-of-Financial-Habits
Developed an Machine learning model with Random Forest classifier after feature selection and hyper parameter tuning the model accuracy was 79.83% based on the financial habits of the customers in the Bank Database.
awesome-mlops-1
:sunglasses: A curated list of awesome MLOps tools
BERT-Tutorials
Credit-Risk-Model
Credit Risk Model on Machine learning and prediction
mlopscommunitysummit
Building ML Blocks with Kubeflow Orchestration with Feature Store.
mlopsworld
Feature Store with Kubeflow in Google Cloud Platform
NLP-Sentiment-Classification
Sentiment Classification with Natural Language Processing on LSTM
NLP-Topic-Extraction
Red-Wine-Quality
Red Wine quality classification Model
Stock-Market-Analysis
Stock Market Analysis with RNN and Time Series
aniruddhachoudhury's Repositories
aniruddhachoudhury/awesome-computer-vision
A curated list of awesome computer vision resources
aniruddhachoudhury/machine_learning_examples
A collection of machine learning examples and tutorials.
aniruddhachoudhury/python-mini-projects
A collection of simple python mini projects to enhance your python skills
aniruddhachoudhury/awesome-credit-modeling
A collection of awesome papers, articles and various resources on credit and credit risk modeling
aniruddhachoudhury/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
aniruddhachoudhury/awesome-imbalanced-learning
A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库
aniruddhachoudhury/awesome_time_series_in_python
This curated list contains python packages for time series analysis
aniruddhachoudhury/banditml
A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
aniruddhachoudhury/clusteval
Clusteval provides methods for unsupervised cluster validation
aniruddhachoudhury/CoinBLAS
Bitcoin blockchain graph analysis with the GraphBLAS.
aniruddhachoudhury/CreditSense
A decentralised credit scoring platform based on Multichain blockchain
aniruddhachoudhury/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
aniruddhachoudhury/electron-markdownify
:closed_book: A minimal Markdown editor desktop app
aniruddhachoudhury/gcp-blueprints
Blueprints for Deploying Kubeflow on Google Cloud Platform and Anthos
aniruddhachoudhury/graph-fraud-detection
Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
aniruddhachoudhury/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
aniruddhachoudhury/LearningDeFi
A "potpourri" of Decentralized Finance resources
aniruddhachoudhury/luminoth
Deep Learning toolkit for Computer Vision.
aniruddhachoudhury/mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
aniruddhachoudhury/nerd-fonts
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
aniruddhachoudhury/NexusChain
aniruddhachoudhury/Orion
A machine learning library for detecting anomalies in signals.
aniruddhachoudhury/pai
Resource scheduling and cluster management for AI
aniruddhachoudhury/pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
aniruddhachoudhury/python-check
aniruddhachoudhury/ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
aniruddhachoudhury/timecop
Time series based anomaly detector
aniruddhachoudhury/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
aniruddhachoudhury/WildFireDetection
Using U-Net Model to Detect Wildfire from Satellite Imagery
aniruddhachoudhury/wine
wine prediction dataset