Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
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Updated
Feb 4, 2022
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks
Pandas + Bayesian Statistics - to see if left-handed people actually die earlier than righties.
🎓💻All of my projects at University of Tehran
Using regression discontinuity try to see which debts are worth collecting.
微信公众号:人工智能大讲堂,专注人工智能底层数学原理与应用,专栏包括线性代数,概率统计,机器学习,深度学习
This Repository is Containing all the work I have done in my 3rd Semester of Btech in JKLU
Repo of HackerRank Probability & Statistics - Foundations Challenges
Formula Sheet for Ph.D Qualifying Exams in Probability and Stochastic Processes
This GitHub repository Consists of materials, code samples, documentation, and valuable resources related to the Information Technology (IT) Department at the National Institute of Technology Karnataka (NITK). 📚 Resource Library 💻 Code Samples 🗂️ Project Repositories
Statistics Cheatsheets
Essential Books for Computer Science
微信公众号:人工智能大讲堂,专注人工智能底层数学原理与应用,专栏包括线性代数,概率统计,机器学习,深度学习
In this project, we're going to build a spam filter for SMS messages using the multinomial Naive Bayes algorithm. Our goal is to write a program that classifies new messages with an accuracy greater than 80% — so we expect that more than 80% of the new messages will be classified correctly as spam or ham (non-spam). Please watch the follow youtu…
This repository contains guided projects from Dataquest's Data Analysis in Python path.
The programming part for the second assignment of the course DSC 531 - Statistical Simulations and Data Analysis of the University of Cyprus MSc in Data Science programme
Probability and Statistics - R Manual
This repository contains my coursework project for ECS7005P - Risk and Decision-Making for Data Science and AI. It applies probabilistic models, Bayesian networks, and decision analysis using Python and PyAgrum to evaluate risk and optimise decision-making under uncertainty.
The fifth project from a Data Scientist with Python track by DataCamp
This repository comprises solutions for UCS410 Probability and Statistics assignments
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