Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
100DaysOfMLCode
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
21-Days-Of-Machine-Learning
adv-r
Advanced R: a book
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
algorithmic-trading-classroom
Learning Algorithmic Trading using Python API
awesome-data-engineering
A curated list of data engineering tools for software developers
Learn-Datascience-for-Free
rajsingh7's Repositories
rajsingh7/clinical_text_classification
Text classification with fine tuned LLM model. Bert model fine tuned on created dataset.
rajsingh7/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
rajsingh7/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
rajsingh7/mslearn-dp100
Lab files for Azure Machine Learning exercises
rajsingh7/Roadmap-To-Learn-Generative-AI-In-2024
Gen AI
rajsingh7/1000-AI-collection-tools
More than 1000 Artificial Intelligence AI-powered tools - categorized & updated
rajsingh7/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
rajsingh7/awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile READMEs 📝
rajsingh7/booknotes
A collection of my book notes on various subjects, mainly computer science
rajsingh7/btup_Financial-Engineering
Jupyter notebooks on financial engineering.
rajsingh7/Claim-Description-Classification
This problem is NLP problem of classification type. Where we have to predict certain class using claim description given. There are two class label which are highly imbalanced and need to be handled.
rajsingh7/cqf-2
cqf
rajsingh7/Customer-Propensity-RFM-Purchase-Modelling
Propensity Modelling and RFM Analysis to predict users' likelihood of making a purchase.
rajsingh7/Data-Science-Interview-Questions-Answers
rajsingh7/Data-Science-ML-Full-Stack
Everything you need to know for data science.
rajsingh7/feature-engineering-for-time-series-forecasting
rajsingh7/insurance_claim_NL-p
This is an Automated Insurance Claim Categorization project using NLP. The system automatically categorizes insurance claims based on the text descriptions provided by the claimants, using ML. The system can help insurance companies to process claims more efficiently and reduce the workload of claims adjusters.
rajsingh7/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
rajsingh7/Machine-Learning-Model-Serving-Patterns-and-Best-Practices
Machine Learning Model Serving Patterns and Best Practices
rajsingh7/Mastering-Azure-Machine-Learning
Mastering Azure Machine Learning, published by packt
rajsingh7/notebooks-3
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
rajsingh7/quant_research
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
rajsingh7/regressionmetrics
Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn
rajsingh7/State-of-the-Art-Deep-Learning-Models-in-TensorFlow
State-of-the-Art Deep Learning Models in TensorFlow Modern Machine Learning in the Google Colab Ecosystem
rajsingh7/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
rajsingh7/target-and-market
A data-driven tool to identify the best candidates for a marketing campaign and optimize it.
rajsingh7/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
rajsingh7/The-Grand-Complete-Data-Science-Materials
rajsingh7/Time-Series
Awesome list and projects of Time Series
rajsingh7/Time-Series-and-Financial-Engineering-With-Python
A series of lessons on time series analysis with Python