100 Days of ML Coding
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Updated
Dec 29, 2023
100 Days of ML Coding
Python code for common Machine Learning Algorithms
The "Python Machine Learning (1st edition)" book code repository and info resource
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
General Assembly's 2015 Data Science course in Washington, DC
Plain python implementations of basic machine learning algorithms
Text Classification Algorithms: A Survey
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Fake News Detection in Python
A New, Interactive Approach to Learning Python
A curated list of data mining papers about fraud detection.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Implementation of basic ML algorithms from scratch in python...
Learning to create Machine Learning Algorithms
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
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