100 Days of ML Coding
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Updated
Dec 29, 2023
100 Days of ML Coding
Code for Tensorflow Machine Learning Cookbook
Collection of notebooks about quantitative finance, with interactive python code.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Python code for common Machine Learning Algorithms
Plain python implementations of basic machine learning algorithms
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Bare bone examples of machine learning in TensorFlow
For extensive instructor led learning
🙄 Difficult algorithm, Simple code.
General Assembly's 2015 Data Science course in Washington, DC
gesture recognition toolkit
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIM…
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Fast Best-Subset Selection Library
Regression, Scrapers, and Visualization
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
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