113 подписчиков
29 видео
Microsoft Excel Overview
1. Python List Vs numpy array
Numpy in 2 minutes: numpy version, path and upgrade
Feature and Label Matrix
3. Scikit-learn for ML: make_blobs
2. Nine Ways to Create numpy Array
5. Scikit-learn for ML: fetch dataset
4. Scikit-learn for ML: Data Loading
0. Scikit-learn for ML: Datasets Overview
6. Pandas for ML: Boolean Series and Indexing
6. Scikit-learn for ML: fetch_openml
6. Summary
4. numpy Indexing
1. Scikit-learn for ML: make_regression
2. Scikit-learn for ML: make_classification
3. Pandas for ML: Dataframe and Series
0. Course Overview
1. Pandas for ML: Introduction to Pandas
5. numpy Selection and Saving
3. Useful numpy methods
2. Pandas for ML: Reading & Saving Data
0. Pandas for ML: Course Overview
Statistics 1- Revision Week 1 - 4
4. Pandas for ML: Three Step Routine
5. Pandas for ML: Data Selection using loc and iloc
Numpy in 2 minutes: np.random.permutation()
