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GitHub topics: support-vector-machines-svm

alecpippas/Machine-Learning-Portfolio

Portfolio of Jupyter Notebooks demonstrating various ML models/concepts learned and developed during my graduate machine learning course and independently post-grad. Generally, a bottom-up modeling approach with Numpy is used to showcase grasp of mathematical foundation. Higher-level libraries (scikit-learn) used for optimized algo implementations.

Size: 1000 Bytes - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

labrijisaad/Prediction-du-cours-de-Bourse

Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

Related Keywords
support-vector-machines-svm 2 time-series-analysis 1 stock-price-forecasting 1 python 1 pandas-ta 1 model-performance-comparison 1 model-development 1 machine-learning 1 long-short-term-memory-lstm 1 linear-regression 1 exploratory-data-analysis 1 data-visualization 1 data-preparation 1 autoregressive-integrated-moving-average-arima 1 apple-inc-aapl 1 stochastic-gradient-descent 1 simple-linear-regression 1 polynomial-regression 1 multiple-linear-regression 1 model-order-selection 1 markov-model 1 linear-time-delay-regression 1 linear-classifiers 1 kernel-ridge-regression 1 kernel-methods 1 gradient-descent 1 autoregressive-text-generation 1