Deep Learning Series | Modelling and Training

In this video, MLDA members Steven and Nelsen will introduce you to machine learning using SciKit-Learn. You will learn modelling in general, supervised learning for both regression and classification, concepts of bias and variance, train test validation split, as well as hyperparameter tuning. Modelling and Training 00:30 Overview of Machine Learning 00:40 What is machine learning? 04:10 Supervised Learning 08:16 Classification 14:52 Train test validation split 16:23 Hyperparameter tuning 17:19 Model Evaluation 20:55 Linear Regression 33:52 Logistic Regression 36:42 Neural Network 40:14 Decision Tree Link to code used: https://colab.research.google.com/drive/1gm87apo6DO73QKK-ZaMcezfUo8-H2js8#offline=true&sandboxMode=true