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10alytics-hackaton---tackling-the-health-crisis-in-africa

I worked on the case study; Tackling the Health Crisis in Africa and Provided recommendations on how to curb this crisis using Power BI.

2023-03march-data-analysis

adl_lrs

ADL's Open Source Learning Record Store (LRS) is used to store learning data collected with the Experience API.

anaconda_data_cleaning_pandas

anaconda_intro_to_machine_learning

analysis-and-prediction-of-home-prices

bridgettbilliingsley.github.io

btj.powerapps.azuredbsample

PowerApps demo DB and API projects

build-an-interactive-data-analytics-dashboard-with-python-oreilly

c-dsi

causal_inference_intro

A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session

content

The content behind MDN Web Docs

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

ds-content-interactive-jupyterlab-tutorial

A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).

dsiprojects

A collection of projects I did while at General Assembly Singapore - as part of Data Science Immersive

freecodecamp-intro-to-numpy

freecodecamp-pandas-real-life-example

fromscratch

ga-lessons

A personal copy of the General Assembly Data Science Immersive lesson material.

garment-pattern-estimation

Reconstructing garment sewing patterns from 3D point clouds

github-slideshow

A robot powered training repository :robot:

hands-on-sql-3086685

This is the LinkedIn Learning repository for Hands On SQL.

homework

intro-to-pandas-course

introduction-to-machine-learning-big-data-and-application

This github repo introduces a portfolio of probability theory, statistical inference, and applied machine learning topics.

linalg4datascience

Code that accompanies the book "Linear Algebra for Data Science"

machine-learning-101-with-scikit-learn-and-statsmodels

Code Repository for Machine Learning 101 with Scikit-learn and StatsModels, Published by Packt

microsoft-power-apps-cookbook-second-edition

Microsoft Power Apps Cookbook, Second Edition, Published by Packt

ml-dataeng-pipelines

To show the usefulness of data engineering and ML pipelines.

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science