theafricanquant Goto Github PK

11th-place-solution-to-zindi-africa-women-in-data-science-competition

To build a predictive model that accurately estimates the % of households per ward that are female-headed and living below a particular income threshold by using data points that can be collected through other means without an intensive household survey like the census. This solution can potentially reduce the cost and improve the accuracy of monitoring key population indicators such as female household headship and income level in between census years.

2017-slides

Slides and talk assets from PyCon 2017

a-value-investment-strategy-that-combines-security-selection-and-market-timing-signals

A Value Investment Strategy That Combines Security Selection And Market Timing Signals

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

ai-saturdays-abuja-assignments

ai6_ds_track

My classes for Data Science

ai6_intro2pandas

These are the lectures I am working on for AI6 Intro to Pandas class

ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

algorithmic-trading---predictive-analytics

Predicting Stocks using Moving Average, Auto Regression, Auto Arima and RNN-LSTM in Python.

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

amunategui.github.io

ann-for-churn-

Artificial Neural Network Example with Churn Dataset

anodaattempt

apyori

A simple implementation of Apriori algorithm by Python.

asset-portfolio-management-usingdeep-reinforcement-learning-

This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.

audio_analysis

Real-time audio spectra visualization with Python

automl

Google Brain AutoML

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-remote-job

A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

backtrader

Python Backtesting library for trading strategies

berom_webscraping

These notebooks show how I tested my codes step by step until I was able to create a class that would help me scrape the Berom Bible.

big-data-utaustin

Labs for EE 379K: Big Data Science

bike-sharing-dataset

Analysis and model development for the Kaggle Bike Sharing Dataset.

bikesharing-data-analysis

As a part of Machine Learning Foundation nanodegree, i have completed this project in which data analysis has been done on bikesharing dataset for different cities.

blog

:page_with_curl: My fastpages blog.

bookclub-py4da

bookclub stuff

btreport

Extension for creating Performance Reports with Backtrader

build-an-ai-startup-with-pytorch

This is the code for 'Build an AI Startup with Pytorch" by Siraj Raval

building-chatbots-with-python

Source Code for 'Building Chatbots with Python' by Sumit Raj

capstone

WQU capstone project - short term currency trading strategy utilizing machine learning