Pinned Repositories
365datascience
This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D
AB-Demo
Simple front-end A/B experiment
adv_econometrics
Assignments and exercises from Advanced Econometrics 1&2
Advanced-Programming
Advanced-Programming
Agriculture-Commodities-Prices-Seasons
This project is portryal of applied statistical techniques with python and a great deal of time series analysis.
AI-For-Trading
Udacity Nanodegree sponsored by WorldQuant
ames
Ames Iowa housing price prediction.
anthony.github.io
artificial-intelligence-for-trading
Content for Udacity's AI in Trading NanoDegree.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
AnthonyGachuru's Repositories
AnthonyGachuru/365datascience
This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D
AnthonyGachuru/anthony.github.io
AnthonyGachuru/awesome-economics
A curated collection of links for economists
AnthonyGachuru/CS_ADS06
AnthonyGachuru/datascience
Curated list of Python resources for data science.
AnthonyGachuru/donschaumbu-CSGroup_6
Cambridge Spark Group 6
AnthonyGachuru/ds4a-crimen
AnthonyGachuru/DS4A_project_repo
Team repo for the ds4A data engineering fellowship 2022
AnthonyGachuru/Ec_141
Course materials for Ec 141, Econometric Analysis, at UC Berkeley
AnthonyGachuru/Econ5121A
Lecture notes for Econ5121A: Econometric Theory and Applications. This is an open-source writing project.
AnthonyGachuru/econ5170
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
AnthonyGachuru/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
AnthonyGachuru/excel-to-python-data-science-intro-000
AnthonyGachuru/Finance
AnthonyGachuru/git_practice1
AnthonyGachuru/itversity-books
AnthonyGachuru/Kaggle_M5_Forecasting
AnthonyGachuru/machine-learning-notes
My personal notes on Machine Learning
AnthonyGachuru/machine-learning-with-scikit-learn-live-training
Live Training Session: Machine Learning with Scikit Learn
AnthonyGachuru/mathematical-python
Introduction to Mathematical Computing with Python and Jupyter
AnthonyGachuru/microeconometrics
introductory course to microeconometrics on the graduate level
AnthonyGachuru/microeconometrics-course-project-HyeinJeong
microeconometrics-course-project-huiren-j created by GitHub Classroom
AnthonyGachuru/Mind-Expanding-Books
:books: Books that will blow your mind
AnthonyGachuru/python-dictionaries-lab-data-science-intro-000
AnthonyGachuru/python-dictionaries-readme-data-science-intro-000
AnthonyGachuru/ScPoEconometrics-Slides
AnthonyGachuru/sdseml_online_exercises
Online exercise classes for the course "Social Data Science: Econometrics and Machine Learning"
AnthonyGachuru/Time-Series-Analysis-in-Python
Econometric Theory, Financial Modeling (ARMA, Integrated, MAX and Volatility Models)
AnthonyGachuru/visualizing-in-python-data-science-intro-000
AnthonyGachuru/WQU-CTSP
Assignment for Worldquant University's Continuous Stochastic Process course.