Skander Kacem (skacem)

skacem

Geek Repo

Location:Kinshasa, Congo

Home Page:https://skacem.github.io

Twitter:@SkanderKacem

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FIM-Expert

Skander Kacem's repositories

Investment-Management-with-Python-and-ML-Specialization

Coursera Specialization Courses about Investment Management with Python and Machine Learning

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Marketing-Analytics-Foundations

The python version of the lab exercises from the coursera class Foundation of marketing analytics.

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Algorithmic-Art

An algorithmic approach to generating visual art.

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Strategic-Business-Analytics-Foundations

Foundations of strategic business analytics (in Python) by ESSEC Business School

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Learning-Machine-Learning

Machine learning and how to apply it to problem solving.

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Interference-Aware-Receivers

Implementation of a Downlink Interference Cancellation at the UE.

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Business-Analytics

Business Analytics with Python

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An-Introduction-to-Statistical-Learning

Personal Notes + Exercises and Applications in Python

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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chatgpt-conversation

Have a conversation with ChatGPT using your voice, and have it talk back.

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Deep-Learning

Introduction to deep learning with TensorFlow, Keras, Pytorch

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docGPT

ChatGPT directly within Google Docs as an Editor Add-on 📑

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docker.github.io

Source repo for Docker's Documentation

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Machine-Learning-for-Algorithmic-Trading-Second-Edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

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MadeWithML

Learn how to responsibly deliver value with ML.

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Maths-and-Stats-of-ML

Maths and statistics of machine learning

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matplotlib

matplotlib: plotting with Python

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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Natural-Language-Processing

How machines process and understand human language

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Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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public-apis

A collective list of free APIs

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PyChatGPT

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

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Python-Data-Products-for-Predictive-Analytics-Specialization

A data application acquires its value from the data itself, and creates more data as a result. It’s not just an application with data; it’s a data product. The lifecycle of a so-called “data product” mirrors standard product development. However, the data component adds an extra layer of complexity.

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skacem.github.io

My personal Github blog about AI, machine learning, statistics and other nerdy stuff

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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streamlit

Streamlit — The fastest way to build data apps in Python

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Streamlit-Apps-For-Data-Science

Learn Streamlit for Data Science using hands-on ,real-world examples.

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TIL

Today I Learned

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