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.

Repo of HackerRank Probability & Statistics - Foundations Challenges

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

Statistics Cheatsheets

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…

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

This repository contains guided projects from Dataquest's Data Analysis in Python path.

Check out my solutions for the "Mathematics for Machine Learning" course on Coursera! Get a better understanding of the math behind machine learning with this specialization.

Formula Sheet for Ph.D Qualifying Exams in Probability and Stochastic Processes

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

The fifth project from a Data Scientist with Python track by DataCamp

In this project, a comprehensive analysis of the Android application market was carried out by comparing more than ten thousand applications on Google Play in different categories. Insights were sought from the data to design strategies that drive growth and retention. Data for this project was pulled from the Google Play website.

Data analysis on gandum dataset using probability and statistics knowledge. Analyzed using python and pandas.

R and Python scripts for my Summer 2021 undegraduate research project on Chain Event Graphs as part of the URSS scheme

Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, I will analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning.