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09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
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1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
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6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
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