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/AI
Microsoft AI
aniruddhachoudhury/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
aniruddhachoudhury/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
aniruddhachoudhury/Awesome-Mobile-Machine-Learning
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
aniruddhachoudhury/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
aniruddhachoudhury/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
aniruddhachoudhury/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
aniruddhachoudhury/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
aniruddhachoudhury/model_search
aniruddhachoudhury/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
aniruddhachoudhury/aemmadi
Profile Repo
aniruddhachoudhury/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
aniruddhachoudhury/awesome-azure-learning
This repo includes plenty of references for Azure learning, especially for the Azure certs and Azure architecture, and any other learning materials e.g. security and automation topics.
aniruddhachoudhury/awesome-blockchain-ai
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
aniruddhachoudhury/awesome-deep-reinforcement-learning
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
aniruddhachoudhury/awesome-fastapi
A curated list of awesome things related to FastAPI
aniruddhachoudhury/awesome-gcp-certifications
Google Cloud Platform Certification resources.
aniruddhachoudhury/awesome-google-cloud
A curated list of awesome stuff for Google Cloud Platform.
aniruddhachoudhury/crypto-portfolio
Loans based on Credit Score | Crypto Dashboard for traders
aniruddhachoudhury/drift_drl
High-speed Autonomous Drifting with Deep Reinforcement Learning
aniruddhachoudhury/Ethereum-Fraud-Detection
Predicting the probability of an Ethereum account being fraud using XGBoost.
aniruddhachoudhury/golearn
Machine Learning for Go
aniruddhachoudhury/GridAttackAnalyzer
GridAttackAnalyzer: Smart Grid Attack Analysis Framework
aniruddhachoudhury/imbDRL
Imbalanced Classification with Deep Reinforcement Learning
aniruddhachoudhury/k9s
🐶 Kubernetes CLI To Manage Your Clusters In Style!
aniruddhachoudhury/Learn2Clean
Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
aniruddhachoudhury/ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
aniruddhachoudhury/Prometheus-Basics
A beginner friendly introduction to prometheus 🔥
aniruddhachoudhury/TimeSeriesClustering.jl
Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.
aniruddhachoudhury/Useful-python
Python code and notebooks for reference