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greyhatguy007 / Machine-Learning-Specialization-Coursera

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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

python machine-learning deep-learning neural-network solutions mooc tensorflow linear-regression coursera recommendation-system logistic-regression decision-trees unsupervised-learning andrew-ng supervised-machine-learning unsupervised-machine-learning coursera-assignment coursera-specialization andrew-ng-machine-learning
  • Updated Sep 29, 2024
  • Jupyter Notebook

cantaro86 / Financial-Models-Numerical-Methods

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Collection of notebooks about quantitative finance, with interactive python code.

python linear-regression econometrics partial-differential-equations option-pricing quantitative-finance jupyter-notebooks stochastic-differential-equations american-options kalman-filter stochastic-processes monte-carlo-methods financial-engineering financial-mathematics levy-processes heston-model brownian-motion jump-diffusion-mertons-model fourier-inversion linear-systems-equations
  • Updated Oct 22, 2024
  • Jupyter Notebook

kaushikjadhav01 / Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

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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…

python wordpress flask machine-learning twitter sentiment-analysis tensorflow linear-regression keras lstm stock-market stock-price-prediction tweepy arima alphavantage yfinance
  • Updated Feb 19, 2024
  • Python

Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization

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Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

machine-learning calculus linear-regression linear-algebra probability mathematics gradient-descent bayesian-statistics linear-equation mathematical-optimization determinants eigenvalues-and-eigenvectors
  • Updated Jul 10, 2023
  • Jupyter Notebook

Madhu009 / Deep-math-machine-learning.ai

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

machine-learning natural-language-processing deep-neural-networks tensorflow word2vec linear-regression q-learning neural-networks reinforcement-learning-algorithms sarsa logistic-regression gans support-vector-machines policy-iteration value-iteration gradient-descent-algorithm monte-carlo-methods temporal-differencing-learning general-adversarial-network
  • Updated Mar 15, 2019
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milaan9 / Deep_Learning_Algorithms_from_Scratch

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This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

data-science deep-learning linear-regression image-processing neural-networks image-captioning logistic-regression object-detection autoencoders adversarial-machine-learning rnn-pytorch cnn-classification tutor-milaan9 deep-learning-pytorch deep-learning-matlab deep-learning-python
  • Updated Dec 9, 2022
  • Jupyter Notebook

NishkarshRaj / 100DaysofMLCode

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My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

python machine-learning big-data deep-learning linear-regression linear-algebra regression artificial-intelligence neural-networks classification artificial-neural-networks polynomial-regression regression-models hacktoberfest 100daysofcode scikitlearn-machine-learning classification-algorithm 100daysofmlcode llm generative-ai
  • Updated Jun 4, 2024
  • Jupyter Notebook

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