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Chris Olande's Projects

30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

autoeda-resources icon autoeda-resources

A list of software and papers related to automatic and fast Exploratory Data Analysis

awesome-decision-science icon awesome-decision-science

An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.

badminton-stroke-classification icon badminton-stroke-classification

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

crash-visualization icon crash-visualization

A book for tech and non-tech readers who want to know more and know how to improve their visualisation and story-telling skills

dataprep icon dataprep

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deeplearningexamples icon deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

dltfpt icon dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

egret icon egret

An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). https://doi-usgs.github.io/EGRET/

god-level-data-science-ml-full-stack icon god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

mlr icon mlr

Machine Learning in R

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