Kacy Chou (kacychou)

kacychou

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retentioneering-tools

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

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Awesome-explainable-AI

A collection of research materials on explainable AI/ML

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tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

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interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

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TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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Python-Practical-Application-on-Climate-Variability-Studies

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

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ph-poverty-mapping

Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information

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predicting-poverty-replication

A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty

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Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

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tennis-tracking

Open-source Monocular Python HawkEye for Tennis

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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Machine-Learning-for-Solar-Energy-Prediction

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

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open-sustainable-technology

A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.

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ClimateModeling_courseware

A collection of interactive lecture notes and assignments in Jupyter notebook format.

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tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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course-v3

The 3rd edition of course.fast.ai

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Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

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numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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fastai

The fastai deep learning library

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scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

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