[ DevCourseWeb.com ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow

Creation Time	Sept. 16, 2025, 6:42 p.m.
Last Access Time	Nov. 2, 2025, 3:05 p.m.
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Keywords	and Machine Biology for Python with - Deep Udemy DevCourseWeb Learning Tensorflow com
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~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 223.3 MB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 167.0 MB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 161.4 MB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 130.7 MB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 118.0 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 117.5 MB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 109.8 MB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 106.4 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 104.0 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 103.0 MB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 87.2 MB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 86.4 MB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 83.7 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 83.1 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 80.4 MB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 78.6 MB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 78.5 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 77.5 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 75.0 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 73.1 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/3. 02 Visualize Malaria Cell Images.mp4 68.1 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/4. 02B Find Optimal Hyperparameters With Grid Search.mp4 65.1 MB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/3. 05C Build A Kmeans Clustering Model.mp4 64.4 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/4. 03 Process Data For Machine Learning.mp4 61.7 MB
~Get Your Files Here !/1. Chapter 1/6. 02. Type Conversion Examples.mp4 59.9 MB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/4. 06 Visualize Clusters Found Via Kmeans.mp4 59.5 MB
~Get Your Files Here !/1. Chapter 1/4. 00. Intro To Course And Python.mp4 57.2 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/5. 03A What Is Nested Cross Validation.mp4 57.0 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/3. 03 Process Heart Disease Data For Machine Learning.mp4 55.7 MB
~Get Your Files Here !/1. Chapter 1/24. What Is Supervised Learning.mp4 54.5 MB
~Get Your Files Here !/1. Chapter 1/12. 08. Ranges Examples.mp4 53.2 MB
~Get Your Files Here !/1. Chapter 1/10. 06. Tuples Examples.mp4 52.4 MB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/2. 04B Build A Linear Classifier With Stochastic Gradient Descent.mp4 52.2 MB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/5. 06 Build A K Nearest Neighbors Machine Learning Model.mp4 50.1 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/4. 03 Extract A Subset Of Samples.mp4 48.8 MB
~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/2. 01 Load And Analyze Cancer Dataset.mp4 48.6 MB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/2. 05B What Is K Means Clustering.mp4 48.2 MB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/4. 05B Build An Ada Boost Classifier.mp4 45.3 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/7. 04A What Is The Decision Tree Model.mp4 42.2 MB
~Get Your Files Here !/1. Chapter 1/8. 04. Collections.mp4 41.6 MB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/1. 05A What Is Unsupervised Learning.mp4 39.5 MB
~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/2. 02 What Is A Neural Network.mp4 39.0 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/1. 01A What Is Cross Validation.mp4 38.8 MB
~Get Your Files Here !/1. Chapter 1/13. 09. Conditionals.mp4 38.0 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 36.9 MB
~Get Your Files Here !/1. Chapter 1/26. 01 Regression Introduction.mp4 35.6 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 34.2 MB
~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/1. 01 What Is Deep Learning.mp4 34.1 MB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/1. 04A What Is Stochastic Gradient Descent.mp4 32.3 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/6. 03B Find Best Model Parameters With Nested Cross Validation.mp4 29.5 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/5. 04 Build A Neural Network.mp4 29.4 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/5. 04A What Is Principal Component Analysis.mp4 29.3 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 28.8 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/2. 01 Load Data Via Tensorflow.mp4 28.3 MB
~Get Your Files Here !/1. Chapter 1/28. 03 What Is Linear Regression.mp4 27.8 MB
~Get Your Files Here !/1. Chapter 1/23. What Is Machine Learning.mp4 27.4 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/1. 00 Project Preview.mp4 27.4 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 25.7 MB
~Get Your Files Here !/1. Chapter 1/1. Course Overview - Machine Learning For Biology.mp4 25.6 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/8. 04B Compare Models With Nested Cross Validation.mp4 25.4 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 24.7 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/4. 05 Visualize Linear Regression With Matplotlib Pyplot.mp4 24.4 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/2. 01B Find Model Error With Cross Validation.mp4 23.1 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 23.0 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 22.6 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 21.4 MB
~Get Your Files Here !/1. Chapter 1/21. 17. Summary And Outro.mp4 20.9 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/3. 02A What Is Grid Search Cross Validation.mp4 19.4 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 18.6 MB
~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/1. 00 Project Preview.mp4 16.9 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/1. 00 Project Preview.mp4 16.5 MB
~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/3. 02 Preprocess Cancer Data For Machine Learning.mp4 16.5 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 16.4 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 15.5 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 14.9 MB
~Get Your Files Here !/1. Chapter 1/2. What you'll need.mp4 13.9 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/1. 00 Project Preview.mp4 10.6 MB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/3. 05A What Is Ada Boost.mp4 9.8 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.9 flow-cytometry-40k.txt 2.9 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 2.4 MB
~Get Your Files Here !/1. Chapter 1/Source files - Course overview/00 Course Overview - Machine Learning for BIology.pptx 1.9 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 1.6 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 1.6 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 1.6 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 1.6 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 1.5 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 1.0 MB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/03a What is Nested Cross Validation.pptx 1014.6 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.pptx 999.5 KB
~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03b How does SVM work.pptx 977.8 KB
~Get Your Files Here !/1. Chapter 1/Source Files/Types of Machine Learning Models.pptx 943.2 KB
~Get Your Files Here !/1. Chapter 1/Source Files/01 What is Machine Learning.pptx 881.4 KB
~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03d What are SVM kernels.pptx 836.9 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 833.7 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 825.3 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 823.5 KB
~Get Your Files Here !/1. Chapter 1/Source Files/Regression Slides.pptx 791.0 KB
~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/3.1 Source files.zip 756.1 KB
~Get Your Files Here !/1. Chapter 1/Source files - Course overview/01 What you'll need.pptx 751.7 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/04a What is stochastic gradient descent.pptx 733.6 KB
~Get Your Files Here !/1. Chapter 1/Source files - Course overview/00 Course Overview - Machine Learning for BIology.pdf 730.6 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 710.4 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.11 What is Principal Component Analysis.pptx 659.1 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.12 What is Principal Component Analysis.pptx 659.1 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 637.4 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/01a What is Cross Validation.pptx 632.3 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/04a Make Decisions with Decision Trees.pptx 626.4 KB
~Get Your Files Here !/1. Chapter 1/Source Files/What is Linear Regression.pptx 592.0 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 588.5 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/02a What is grid search cross validation.pptx 583.3 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 517.8 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/03a What is Nested Cross Validation.pdf 504.0 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/05a What is Ada Boost.pdf 475.3 KB
~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03b How does SVM work.pdf 439.0 KB
~Get Your Files Here !/1. Chapter 1/Source Files/What is Supervised Learning.pdf 386.9 KB
~Get Your Files Here !/1. Chapter 1/Intro to Python Slides.pdf 374.4 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 368.5 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 367.6 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 344.1 KB
~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03d What are SVM kernels.pdf 336.3 KB
~Get Your Files Here !/1. Chapter 1/Source Files/Regression Slides.pdf 332.4 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/04a What is stochastic gradient descent.pdf 332.2 KB
~Get Your Files Here !/1. Chapter 1/Source Files/Types of Machine Learning Models.pdf 311.1 KB
~Get Your Files Here !/1. Chapter 1/Source Files/01 What is Machine Learning.pdf 304.8 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 277.8 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 243.4 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 236.8 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 208.8 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/01a What is Cross Validation.pdf 193.0 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 185.9 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 183.2 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/02a What is grid search cross validation.pdf 155.5 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/04a Make Decisions with Decision Trees.pdf 151.2 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.10 What is Principal Component Analysis.pdf 148.8 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 144.9 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.3 05 Build an Ada Boost classifier.ipynb 142.7 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 130.1 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 127.3 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.5 03 Process data for machine learning.ipynb 124.5 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.3 02 Clean data with missing values.ipynb 118.8 KB
~Get Your Files Here !/1. Chapter 1/Source Files/What is Linear Regression.pdf 114.8 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 61.3 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.7 04 Compare models with nested cross validation.ipynb 57.3 KB
~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.srt 55.5 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 55.4 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.3 02 Find optimal hyperparameters with grid search.ipynb 52.8 KB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.srt 47.8 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.1 01 Find model error with cross validation.ipynb 46.8 KB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.srt 45.3 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 42.3 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 37.0 KB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.srt 35.9 KB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.srt 32.5 KB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.srt 31.4 KB
~Get Your Files Here !/1. Chapter 1/Python_Language_Basics.ipynb 29.3 KB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.srt 28.2 KB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.srt 28.0 KB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.srt 27.5 KB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.srt 23.7 KB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.5 cleaned_heart_disease_data.csv 23.0 KB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.srt 22.6 KB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.7 Linear regression results.png 22.4 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 21.6 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/5. 03A What Is Nested Cross Validation.srt 20.3 KB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.6 processed.cleveland.csv 18.0 KB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.7 processed.cleveland.data 18.0 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/processed.cleveland.csv 18.0 KB
~Get Your Files Here !/1. Chapter 1/6. 02. Type Conversion Examples.srt 17.1 KB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.srt 16.9 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.srt 16.5 KB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/2. 05B What Is K Means Clustering.srt 16.2 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 15.9 KB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/3. 05C Build A Kmeans Clustering Model.srt 15.8 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 15.8 KB
~Get Your Files Here !/1. Chapter 1/4. 00. Intro To Course And Python.srt 15.4 KB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.srt 15.2 KB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.srt 15.1 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/1. 04A What Is Stochastic Gradient Descent.srt 15.0 KB
~Get Your Files Here !/1. Chapter 1/10. 06. Tuples Examples.srt 14.1 KB
~Get Your Files Here !/1. Chapter 1/12. 08. Ranges Examples.srt 14.0 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.srt 14.0 KB
~Get Your Files Here !/1. Chapter 1/26. 01 Regression Introduction.srt 13.6 KB
~Get Your Files Here !/1. Chapter 1/8. 04. Collections.srt 13.4 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/7. 04A What Is The Decision Tree Model.srt 13.1 KB
~Get Your Files Here !/1. Chapter 1/24. What Is Supervised Learning.srt 12.9 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 12.2 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/4. 02B Find Optimal Hyperparameters With Grid Search.srt 12.1 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/4. 03 Process Data For Machine Learning.srt 11.7 KB
~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/2. 02 What Is A Neural Network.srt 11.7 KB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/3. 03 Process Heart Disease Data For Machine Learning.srt 11.7 KB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.srt 11.6 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 11.2 KB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/4. 06 Visualize Clusters Found Via Kmeans.srt 11.0 KB
~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/1. 05A What Is Unsupervised Learning.srt 10.9 KB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/3. 02 Visualize Malaria Cell Images.srt 10.9 KB
~Get Your Files Here !/1. Chapter 1/13. 09. Conditionals.srt 10.3 KB
~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/1. 01 What Is Deep Learning.srt 10.2 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/5. 06 Build A K Nearest Neighbors Machine Learning Model.srt 10.0 KB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.srt 9.8 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/1. 01A What Is Cross Validation.srt 9.6 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/2. 04B Build A Linear Classifier With Stochastic Gradient Descent.srt 9.4 KB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/4. 03 Extract A Subset Of Samples.srt 9.4 KB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/5. 04A What Is Principal Component Analysis.srt 9.3 KB
~Get Your Files Here !/1. Chapter 1/1. Course Overview - Machine Learning For Biology.srt 8.7 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/4. 05B Build An Ada Boost Classifier.srt 8.6 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 8.2 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 7.9 KB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/4. 05 Visualize Linear Regression With Matplotlib Pyplot.srt 7.9 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 7.9 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/3. 05A What Is Ada Boost.srt 7.4 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/3. 02A What Is Grid Search Cross Validation.srt 7.3 KB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/5. 04 Build A Neural Network.srt 7.1 KB
~Get Your Files Here !/1. Chapter 1/23. What Is Machine Learning.srt 7.0 KB
~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/2. 01 Load And Analyze Cancer Dataset.srt 6.7 KB
~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/3. 02 Preprocess Cancer Data For Machine Learning.srt 6.6 KB
~Get Your Files Here !/1. Chapter 1/21. 17. Summary And Outro.srt 6.1 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 6.0 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 6.0 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 6.0 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/6. 03B Find Best Model Parameters With Nested Cross Validation.srt 6.0 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 5.9 KB
~Get Your Files Here !/1. Chapter 1/28. 03 What Is Linear Regression.srt 5.7 KB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/2. 01 Load Data Via Tensorflow.srt 5.2 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 5.1 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 5.0 KB
~Get Your Files Here !/1. Chapter 1/2. What you'll need.srt 4.9 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 4.9 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 4.9 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/8. 04B Compare Models With Nested Cross Validation.srt 4.9 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 4.7 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/2. 01B Find Model Error With Cross Validation.srt 4.5 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 4.4 KB
~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.4 05 Build an Ada Boost classifier.py 4.2 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 4.0 KB
~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.8 04 Compare models with nested cross validation.py 3.7 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 3.5 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 3.2 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 2.7 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 2.6 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 2.4 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 1.7 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 1.6 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 1019 bytes
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.2 01 Load and analyze blood cell data.py 1019 bytes
~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
Get Bonus Downloads Here.url 182 bytes
~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
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~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
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~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
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