ColumbiaPython
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- week-2-Intro-to-Statistics-Analysis Public
Intro to Statistics Analysis: T-test, Chi Square Test and Lineaer Regression
ColumbiaPython/week-2-Intro-to-Statistics-Analysis’s past year of commit activity - week-5-Intro-to-Machine-Learning-for-Classification-2-Neural-Network-and-Naive-Bayes Public
Simple neural network and Naive Bayes
ColumbiaPython/week-5-Intro-to-Machine-Learning-for-Classification-2-Neural-Network-and-Naive-Bayes’s past year of commit activity - week-4-Intro-to-Machine-Learning-1-for-Classification-Logistic-Regression-and-SVM Public
Intro to Machine Learning for Classification: Logistic Regression and SVM
ColumbiaPython/week-4-Intro-to-Machine-Learning-1-for-Classification-Logistic-Regression-and-SVM’s past year of commit activity - week-3-Multivariate-Analysis-and-Data-Visualization-with-Matplotlib-and-Seaborn Public
Multivariate Analysis (Correlation, PCA) and Data Visualization with Matplotlib and Seaborn
ColumbiaPython/week-3-Multivariate-Analysis-and-Data-Visualization-with-Matplotlib-and-Seaborn’s past year of commit activity - week-6-Intro-to-deep-learning-tensorflow-and-Keras Public
Intro to deep learning: tensorflow & Keras
ColumbiaPython/week-6-Intro-to-deep-learning-tensorflow-and-Keras’s past year of commit activity
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