Machine Learning Master Class, Ai Made Easy (Zero To Hero!!)

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 196 lectures (37h 7m) | Size: 9.79 GB

Step by step approach, starts from variable initialization to project deployment. You just need this!

What you'll learn:

The most effective method to dodge issues with Machine Learning, to effectively execute it without losing your brain!

To realise what issues Machine Learning can illuminate, and how the Machine Learning Process functions

Use Python for Machine Learning

Percentiles, moment and Quantiles

Learn to utilise Matplotlib for Python Plotting

Learn to utilise Seaborn for measurable plots

Understand matrix multiplication, Matrix operations and scalar operations

Use Pair plot and limitations

Implement Identity matrix, matrix inverse properties, transpose of matrix, Vector multiplication

Implement Linear Regression, Multiple Linear Regression, Polynomial Regression, Decision Tree Regression, Random Forest Regression

AdaBoost and XGBoost regressor, SVM (regression) Background, SVR under Python

ML Concept-k-Fold validation, GridSearch

Classification-k-nearest neighbours’ algorithm (KNN)

Gaussian Naive Bayes under python & visualization of models

Learn evaluation techniques using curves (ROC, AUC, PR, CAP)

Implement machine learning algorithms

More topics coming soon

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