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~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/3. 02 Visualize Malaria Cell Images.mp4 71.4 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/4. 02B Find Optimal Hyperparameters With Grid Search.mp4 68.3 MB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/3. 05C Build A Kmeans Clustering Model.mp4 67.6 MB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/4. 03 Process Data For Machine Learning.mp4 64.7 MB~Get Your Files Here !/1. Chapter 1/6. 02. Type Conversion Examples.mp4 62.8 MB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/4. 06 Visualize Clusters Found Via Kmeans.mp4 62.4 MB~Get Your Files Here !/1. Chapter 1/4. 00. Intro To Course And Python.mp4 60.0 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/5. 03A What Is Nested Cross Validation.mp4 59.7 MB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/3. 03 Process Heart Disease Data For Machine Learning.mp4 58.4 MB~Get Your Files Here !/1. Chapter 1/24. What Is Supervised Learning.mp4 57.2 MB~Get Your Files Here !/1. Chapter 1/12. 08. Ranges Examples.mp4 55.8 MB~Get Your Files Here !/1. Chapter 1/10. 06. Tuples Examples.mp4 55.0 MB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/2. 04B Build A Linear Classifier With Stochastic Gradient Descent.mp4 54.7 MB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/5. 06 Build A K Nearest Neighbors Machine Learning Model.mp4 52.5 MB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/4. 03 Extract A Subset Of Samples.mp4 51.2 MB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/2. 01 Load And Analyze Cancer Dataset.mp4 51.0 MB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/2. 05B What Is K Means Clustering.mp4 50.6 MB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/4. 05B Build An Ada Boost Classifier.mp4 47.5 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/7. 04A What Is The Decision Tree Model.mp4 44.2 MB~Get Your Files Here !/1. Chapter 1/8. 04. Collections.mp4 43.7 MB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/1. 05A What Is Unsupervised Learning.mp4 41.4 MB~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/2. 02 What Is A Neural Network.mp4 40.9 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/1. 01A What Is Cross Validation.mp4 40.7 MB~Get Your Files Here !/1. Chapter 1/13. 09. Conditionals.mp4 39.9 MB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/3. 01 What Is K Nearest Neighbors.mp4 38.7 MB~Get Your Files Here !/1. Chapter 1/26. 01 Regression Introduction.mp4 37.4 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/1. 03A What Is The Random Forest Classifier Model.mp4 35.9 MB~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/1. 01 What Is Deep Learning.mp4 35.7 MB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/1. 04A What Is Stochastic Gradient Descent.mp4 33.9 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/6. 03B Find Best Model Parameters With Nested Cross Validation.mp4 31.0 MB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/5. 04 Build A Neural Network.mp4 30.8 MB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/5. 04A What Is Principal Component Analysis.mp4 30.8 MB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/6. 04B Reduce Data Dimensionality With Principal Component Analysis.mp4 30.1 MB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/2. 01 Load Data Via Tensorflow.mp4 29.7 MB~Get Your Files Here !/1. Chapter 1/28. 03 What Is Linear Regression.mp4 29.2 MB~Get Your Files Here !/1. Chapter 1/23. What Is Machine Learning.mp4 28.8 MB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/1. 00 Project Preview.mp4 28.8 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/2. 03B Build More Regression Models And Find The Best One.mp4 26.9 MB~Get Your Files Here !/1. Chapter 1/1. Course Overview - Machine Learning For Biology.mp4 26.8 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/8. 04B Compare Models With Nested Cross Validation.mp4 26.6 MB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/2. 04B Build A Logistic Regression Model.mp4 25.9 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/4. 05 Visualize Linear Regression With Matplotlib Pyplot.mp4 25.6 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/2. 01B Find Model Error With Cross Validation.mp4 24.2 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/6. 03F Build An Svm Model To Classify Malignant Vs Benign Mass.mp4 24.1 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/1. 03A Why Do We Need SVM.mp4 23.7 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/2. 03B How Does SVM Work.mp4 22.4 MB~Get Your Files Here !/1. Chapter 1/21. 17. Summary And Outro.mp4 21.9 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/3. 02A What Is Grid Search Cross Validation.mp4 20.3 MB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/1. 04A What Is Logistic Regression.mp4 19.5 MB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/1. 00 Project Preview.mp4 17.8 MB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/1. 00 Project Preview.mp4 17.3 MB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/3. 02 Preprocess Cancer Data For Machine Learning.mp4 17.2 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/4. 03D What Are SVM Kernels.mp4 17.2 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/3. 03C SVM On Non-Linear Data.mp4 16.3 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/5. 03E What Is The Precision-Recall Score.mp4 15.7 MB~Get Your Files Here !/1. Chapter 1/2. What you'll need.mp4 14.5 MB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/1. 00 Project Preview.mp4 11.1 MB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/3. 05A What Is Ada Boost.mp4 10.3 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.9 flow-cytometry-40k.txt 3.0 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.9 What is the Random Forest Classifier Model (1).pptx 2.5 MB~Get Your Files Here !/1. Chapter 1/Source files - Course overview/00 Course Overview - Machine Learning for BIology.pptx 2.0 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.5 05 Visualize linear regression with Matplotlib Pyplot.ipynb 1.7 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.3 04 Select top features via variance threshold.ipynb 1.7 MB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.1 03 Build more regression models and find the best one.ipynb 1.7 MB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.3 02 Build a K Nearest neighbors regression model to predict diabetes.ipynb 1.7 MB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is Deep Learning.pptx 1.6 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.5 Diabetes dataset visual.png 1.4 MB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/05a What is Ada Boost.pptx 1.2 MB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.1 01 Load and analyze data.ipynb 1.2 MB~Get Your Files Here !/1. Chapter 1/Source Files/What is Supervised Learning.pptx 1.1 MB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/03a What is Nested Cross Validation.pptx 1.0 MB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is a Neural Network.pptx 1.0 MB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03b How does SVM work.pptx 1.0 MB~Get Your Files Here !/1. Chapter 1/Source Files/Types of Machine Learning Models.pptx 965.8 kB~Get Your Files Here !/1. Chapter 1/Source Files/01 What is Machine Learning.pptx 902.6 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03d What are SVM kernels.pptx 857.0 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.7 What is K Nearest Neighbours.pptx 853.7 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/What is Unsupervised Learning.pptx 845.1 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03a Why do we need SVM.pptx 843.2 kB~Get Your Files Here !/1. Chapter 1/Source Files/Regression Slides.pptx 810.0 kB
~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/3.1 Source files.zip 774.3 kB~Get Your Files Here !/1. Chapter 1/Source files - Course overview/01 What you'll need.pptx 769.8 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/04a What is stochastic gradient descent.pptx 751.2 kB
~Get Your Files Here !/1. Chapter 1/Source files - Course overview/00 Course Overview - Machine Learning for BIology.pdf 748.1 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03c SVM on Non-Linear Data.pptx 727.4 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.11 What is Principal Component Analysis.pptx 674.9 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.12 What is Principal Component Analysis.pptx 674.9 kB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is Deep Learning.pdf 652.7 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/01a What is Cross Validation.pptx 647.5 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/04a Make Decisions with Decision Trees.pptx 641.4 kB~Get Your Files Here !/1. Chapter 1/Source Files/What is Linear Regression.pptx 606.2 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03e What is the precision-recall score.pptx 602.7 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/02a What is grid search cross validation.pptx 597.3 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/06 Visualize clusters found via KMeans.ipynb 530.3 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/03a What is Nested Cross Validation.pdf 516.1 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/05a What is Ada Boost.pdf 486.7 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03b How does SVM work.pdf 449.6 kB~Get Your Files Here !/1. Chapter 1/Source Files/What is Supervised Learning.pdf 396.2 kB~Get Your Files Here !/1. Chapter 1/Intro to Python Slides.pdf 383.4 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03a Why do we need SVM.pdf 377.3 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.8 What is the Random Forest Classifier Model (1).pdf 376.4 kB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is a Neural Network.pdf 352.3 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03d What are SVM kernels.pdf 344.4 kB~Get Your Files Here !/1. Chapter 1/Source Files/Regression Slides.pdf 340.4 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/04a What is stochastic gradient descent.pdf 340.1 kB~Get Your Files Here !/1. Chapter 1/Source Files/Types of Machine Learning Models.pdf 318.6 kB~Get Your Files Here !/1. Chapter 1/Source Files/01 What is Machine Learning.pdf 312.1 kB~Get Your Files Here !/1. Chapter 1/Source files - Course overview/01 What you'll need - Machine Learning and Deep Learning for Biology with Python and TensorFlow.pdf 284.4 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/What is Unsupervised Learning.pdf 249.2 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.6 What is K Nearest Neighbours.pdf 242.5 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03c SVM on Non-Linear Data.pdf 213.8 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/01a What is Cross Validation.pdf 197.7 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/05 Build a KMeans clustering model.ipynb 190.4 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.5 06 Build a K Nearest Neighbors machine learning model.ipynb 187.6 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/02a What is grid search cross validation.pdf 159.2 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/04a Make Decisions with Decision Trees.pdf 154.8 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.10 What is Principal Component Analysis.pdf 152.4 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03e What is the precision-recall score.pdf 148.4 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.3 05 Build an Ada Boost classifier.ipynb 146.1 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.1 04 Build a linear classifier with stochastic gradient descent.ipynb 133.2 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.7 04 Reduce data dimensionality with principal component analysis.ipynb 130.4 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.5 03 Process data for machine learning.ipynb 127.5 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.3 02 Clean data with missing values.ipynb 121.6 kB~Get Your Files Here !/1. Chapter 1/Source Files/What is Linear Regression.pdf 117.6 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.2 02 Clean and preprocess heart disease data for machine learning.ipynb 62.7 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.7 04 Compare models with nested cross validation.ipynb 58.7 kB~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.srt 56.8 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.5 03 Find best model parameters with nested cross validation.ipynb 56.7 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.3 02 Find optimal hyperparameters with grid search.ipynb 54.1 kB~Get Your Files Here !/1. Chapter 1/15. 11. Loops.srt 48.9 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.1 01 Find model error with cross validation.ipynb 47.9 kB~Get Your Files Here !/1. Chapter 1/7. 03. Operators.srt 46.4 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/7.1 03 Build an SVM model to classify malignant vs benign mass.ipynb 43.3 kB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/02 Preprocess cancer data for machine learning/02 Preprocess cancer data for machine learning.ipynb 37.9 kB~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.srt 36.7 kB~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.srt 33.3 kB~Get Your Files Here !/1. Chapter 1/5. 01. Variables.srt 32.2 kB~Get Your Files Here !/1. Chapter 1/Python_Language_Basics.ipynb 30.0 kB~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.srt 28.8 kB~Get Your Files Here !/1. Chapter 1/16. 12. Functions.srt 28.7 kB~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.srt 28.1 kB~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.srt 24.2 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.5 cleaned_heart_disease_data.csv 23.6 kB~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.srt 23.1 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.7 Linear regression results.png 23.0 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.1 01 Load and analyze blood cell data.ipynb 22.1 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/5. 03A What Is Nested Cross Validation.srt 20.7 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.6 processed.cleveland.csv 18.5 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.7 processed.cleveland.data 18.5 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/processed.cleveland.csv 18.5 kB~Get Your Files Here !/1. Chapter 1/6. 02. Type Conversion Examples.srt 17.5 kB~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.srt 17.3 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.srt 16.9 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/2. 05B What Is K Means Clustering.srt 16.6 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.srt 16.3 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/3. 05C Build A Kmeans Clustering Model.srt 16.2 kB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/01 Load and analyze cancer dataset/01 Load and analyze cancer dataset.ipynb 16.2 kB~Get Your Files Here !/1. Chapter 1/4. 00. Intro To Course And Python.srt 15.8 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.srt 15.6 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.srt 15.5 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/1. 04A What Is Stochastic Gradient Descent.srt 15.4 kB~Get Your Files Here !/1. Chapter 1/10. 06. Tuples Examples.srt 14.4 kB~Get Your Files Here !/1. Chapter 1/12. 08. Ranges Examples.srt 14.4 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.srt 14.3 kB~Get Your Files Here !/1. Chapter 1/26. 01 Regression Introduction.srt 13.9 kB~Get Your Files Here !/1. Chapter 1/8. 04. Collections.srt 13.7 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/7. 04A What Is The Decision Tree Model.srt 13.4 kB~Get Your Files Here !/1. Chapter 1/24. What Is Supervised Learning.srt 13.2 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.srt 12.5 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/4. 02B Find Optimal Hyperparameters With Grid Search.srt 12.4 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/4. 03 Process Data For Machine Learning.srt 12.0 kB~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/2. 02 What Is A Neural Network.srt 12.0 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/3. 03 Process Heart Disease Data For Machine Learning.srt 11.9 kB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.srt 11.9 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/3. 01 What Is K Nearest Neighbors.srt 11.5 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/4. 06 Visualize Clusters Found Via Kmeans.srt 11.2 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/1. 05A What Is Unsupervised Learning.srt 11.2 kB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/3. 02 Visualize Malaria Cell Images.srt 11.2 kB~Get Your Files Here !/1. Chapter 1/13. 09. Conditionals.srt 10.6 kB~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/1. 01 What Is Deep Learning.srt 10.5 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/5. 06 Build A K Nearest Neighbors Machine Learning Model.srt 10.3 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.srt 10.0 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/1. 01A What Is Cross Validation.srt 9.8 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/2. 04B Build A Linear Classifier With Stochastic Gradient Descent.srt 9.6 kB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/4. 03 Extract A Subset Of Samples.srt 9.6 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/5. 04A What Is Principal Component Analysis.srt 9.5 kB~Get Your Files Here !/1. Chapter 1/1. Course Overview - Machine Learning For Biology.srt 8.9 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/4. 05B Build An Ada Boost Classifier.srt 8.9 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/1. 03A Why Do We Need SVM.srt 8.4 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/1. 03A What Is The Random Forest Classifier Model.srt 8.1 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/4. 05 Visualize Linear Regression With Matplotlib Pyplot.srt 8.1 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/2. 03B How Does SVM Work.srt 8.0 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/3. 05A What Is Ada Boost.srt 7.6 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/3. 02A What Is Grid Search Cross Validation.srt 7.4 kB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/5. 04 Build A Neural Network.srt 7.3 kB~Get Your Files Here !/1. Chapter 1/23. What Is Machine Learning.srt 7.1 kB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/2. 01 Load And Analyze Cancer Dataset.srt 6.9 kB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/3. 02 Preprocess Cancer Data For Machine Learning.srt 6.7 kB~Get Your Files Here !/1. Chapter 1/21. 17. Summary And Outro.srt 6.3 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/5. 03E What Is The Precision-Recall Score.srt 6.2 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/6. 04B Reduce Data Dimensionality With Principal Component Analysis.srt 6.2 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/3. 03C SVM On Non-Linear Data.srt 6.2 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/6. 03B Find Best Model Parameters With Nested Cross Validation.srt 6.1 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/4. 03D What Are SVM Kernels.srt 6.0 kB~Get Your Files Here !/1. Chapter 1/28. 03 What Is Linear Regression.srt 5.8 kB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/2. 01 Load Data Via Tensorflow.srt 5.3 kB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/1. 04A What Is Logistic Regression.srt 5.2 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/06 Visualize clusters found via KMeans.py 5.1 kB~Get Your Files Here !/1. Chapter 1/2. What you'll need.srt 5.0 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.6 06 Build a K Nearest Neighbors machine learning model.py 5.0 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/6. 03F Build An Svm Model To Classify Malignant Vs Benign Mass.srt 5.0 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/8. 04B Compare Models With Nested Cross Validation.srt 5.0 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/2. 03B Build More Regression Models And Find The Best One.srt 4.8 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/2. 01B Find Model Error With Cross Validation.srt 4.6 kB~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/2. 04B Build A Logistic Regression Model.srt 4.5 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.4 05 Build an Ada Boost classifier.py 4.3 kB~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/05 Build a KMeans clustering model.py 4.1 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.8 04 Compare models with nested cross validation.py 3.8 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/1. 00 Project Preview.srt 3.6 kB~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.2 04 Build a linear classifier with stochastic gradient descent.py 3.6 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.6 03 Find best model parameters with nested cross validation.py 3.3 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.8 04 Reduce data dimensionality with principal component analysis.py 2.9 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.4 02 Find optimal hyperparameters with grid search.py 2.8 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.4 03 Process heart disease data for machine learning.py 2.7 kB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/1. 00 Project Preview.srt 2.7 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.6 05 Visualize linear regression with Matplotlib Pyplot.py 2.6 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.6 03 Process data for machine learning.py 2.5 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/1. 00 Project Preview.srt 2.5 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.4 04 Select top features via variance threshold.py 2.3 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.3 02 Clean and preprocess heart disease data for machine learning.py 1.9 kB~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.2 01 Find model error with cross validation.py 1.8 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.4 02 Clean data with missing values.py 1.8 kB~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.2 03 Build more regression models and find the best one.py 1.7 kB~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.4 02 Build a K Nearest neighbors regression model to predict diabetes.py 1.3 kB~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/1. 00 Project Preview.srt 1.3 kB~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/7.2 03 Build an SVM model to classify malignant vs benign mass.py 1.2 kB~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.1 01 Load and analyze blood cell data.py 1.0 kB~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.2 01 Load and analyze blood cell data.py 1.0 kB~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/02 Preprocess cancer data for machine learning/02 Preprocess cancer data for machine learning.py 881 Bytes~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.2 01 Load and analyze data.py 684 Bytes~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/01 Load and analyze cancer dataset/01 Load and analyze cancer dataset.py 434 Bytes~Get Your Files Here !/Bonus Resources.txt 357 Bytes
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~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4. Source Files.html 34 Bytes~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6. Source Files.html 34 Bytes~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/3. Source Files.html 34 Bytes~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5. Source Files.html 34 Bytes~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7. Source Files.html 34 Bytes~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/5. Source Files.html 34 Bytes~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/4. Source Files.html 34 Bytes~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/7. Source Files.html 34 Bytes~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9. Source Files.html 34 Bytes~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/3. Source Files.html 29 Bytes~Get Your Files Here !/1. Chapter 1/22. Source Code.html 27 Bytes~Get Your Files Here !/1. Chapter 1/25. Source Files.html 27 Bytes~Get Your Files Here !/1. Chapter 1/29. Source Files.html 27 Bytes~Get Your Files Here !/1. Chapter 1/3. Source Files.html 27 Bytes~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5. Source Files.html 27 Bytes
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