The Complete Healthcare Artificial Intelligence Course 2021 | 00358761366BFE1E5629266DA9FB09355D1592AD

The Complete Healthcare Artificial Intelligence Course 2021

Name	The Complete Healthcare Artificial Intelligence Course 2021	DOWNLOAD Copy Link
Total Size	4.2 GB
Total Files	248
Last Seen	2024-11-05 23:45
Hash	00358761366BFE1E5629266DA9FB09355D1592AD

/.../4. Heart Disease Classification Project/
9. Splitting training set into test set and Evaluating the model.mp4	217.7 MB
10.1 Heart_disease_project.ipynb	306.8 KB
4.1 Ch3.ClevelandData.xlsx	28.6 KB
9. Splitting training set into test set and Evaluating the model.srt	25.0 KB
2. Important Parameters.srt	7.0 KB
6. Handling missing data in Python.srt	11.5 KB
7. Data scaling.srt	10.0 KB
8. Data visualization.srt	9.6 KB
4. Importing library and data.srt	6.8 KB
3. Objective of this project.srt	1.9 KB
5. Exploratory analysis.srt	5.8 KB
10. Summary of the project.srt	3.6 KB
1. Introduction to the project.srt	3.4 KB
2. Important Parameters.mp4	88.5 MB
8. Data visualization.mp4	76.0 MB
4. Importing library and data.mp4	70.2 MB
7. Data scaling.mp4	68.5 MB
6. Handling missing data in Python.mp4	62.4 MB
1. Introduction to the project.mp4	56.1 MB
5. Exploratory analysis.mp4	44.2 MB
10. Summary of the project.mp4	40.9 MB
3. Objective of this project.mp4	11.4 MB
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TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../3. DNA Classification Project/
7.1 DNA CLASSIFICATION.ipynb	42.7 KB
4. Generating a DNA sequence.srt	17.6 KB
6. Scoring method and results.srt	12.5 KB
1. Introduction to DNA Classifier.srt	1.3 KB
3. Showing data.srt	1.8 KB
5. Splitting the dataset into training test and test set.srt	6.6 KB
2. Importing library and data.srt	4.6 KB
7. Summary of the project.srt	3.6 KB
6. Scoring method and results.mp4	153.9 MB
4. Generating a DNA sequence.mp4	147.7 MB
5. Splitting the dataset into training test and test set.mp4	52.9 MB
7. Summary of the project.mp4	39.2 MB
2. Importing library and data.mp4	32.3 MB
1. Introduction to DNA Classifier.mp4	16.5 MB
3. Showing data.mp4	11.9 MB
/.../9. Bonus- Extra projects outside the healthcare scope/
4. Importing library and data.srt	7.3 KB
13.1 Taxi_fares_prediction_udemy.ipynb	817.6 KB
5. Visualizing geolocation data.mp4	158.8 MB
7. Handling missing data and anomalies in Python.srt	18.9 KB
5. Visualizing geolocation data.srt	17.1 KB
9. Geolocation features.srt	15.0 KB
12. Analysing Results.srt	12.3 KB
11. Model building.srt	7.9 KB
3. Deep feedforward networks.srt	7.6 KB
6. Analysing Data.srt	5.9 KB
10. Feature Scaling.srt	5.4 KB
8. Temporal features.srt	4.5 KB
1. Introduction to the project.srt	3.0 KB
13. Summary of the project.srt	2.1 KB
2. Bonus project.html	0.3 KB
7. Handling missing data and anomalies in Python.mp4	117.0 MB
12. Analysing Results.mp4	113.8 MB
9. Geolocation features.mp4	96.6 MB
4. Importing library and data.mp4	69.8 MB
11. Model building.mp4	58.8 MB
3. Deep feedforward networks.mp4	44.7 MB
6. Analysing Data.mp4	43.5 MB
10. Feature Scaling.mp4	34.8 MB
8. Temporal features.mp4	31.9 MB
13. Summary of the project.mp4	11.4 MB
1. Introduction to the project.mp4	7.0 MB
/1. Introduction/
2. How To Make The Most Out Of This Course.srt	1.5 KB
9.1 Pandas.ipynb	63.8 KB
4. What is Neuron.srt	1.8 KB
5. What is deep Learning.srt	1.4 KB
10. How to install Anaconda.srt	2.5 KB
8. Introduction to Pandas and visualization.srt	11.5 KB
11. Important terms in Neural Network.srt	11.4 KB
9. Data Preprocessing by Pandas.srt	10.0 KB
7. What is keras.srt	6.2 KB
6. What is ANN.srt	4.3 KB
1. Course Structure.srt	3.7 KB
3. AI in Healthcare.srt	3.1 KB
11. Important terms in Neural Network.mp4	111.1 MB
8. Introduction to Pandas and visualization.mp4	64.0 MB
9. Data Preprocessing by Pandas.mp4	63.1 MB
7. What is keras.mp4	35.7 MB
10. How to install Anaconda.mp4	27.4 MB
5. What is deep Learning.mp4	19.4 MB
6. What is ANN.mp4	19.1 MB
1. Course Structure.mp4	14.5 MB
2. How To Make The Most Out Of This Course.mp4	10.5 MB
4. What is Neuron.mp4	7.6 MB
3. AI in Healthcare.mp4	6.6 MB
/.../5. Diagnosing Coronary Artery Disease Project/
7.1 Heart Disease Prediction with Neural Networks.ipynb	133.9 KB
6. A comparison of categorical and binary problem.srt	10.2 KB
3. Fixing missing data.srt	10.0 KB
2. Importing data and Analysing data.srt	9.2 KB
4. Splitting the dataset into training test and test set.srt	5.6 KB
5. Training Neural Network.srt	5.5 KB
7. Summary of the project.srt	4.3 KB
1. Introduction.srt	0.7 KB
6. A comparison of categorical and binary problem.mp4	98.2 MB
3. Fixing missing data.mp4	88.3 MB
2. Importing data and Analysing data.mp4	71.9 MB
4. Splitting the dataset into training test and test set.mp4	49.9 MB
5. Training Neural Network.mp4	48.0 MB
7. Summary of the project.mp4	40.1 MB
1. Introduction.mp4	6.9 MB
/8. Thank you/
1. Extra Link.html	0.1 KB
2. Thank you.srt	1.8 KB
2. Thank you.mp4	24.2 MB
/.../10. Bonus project/
1. Bonus project.html	0.1 KB
/.pad/
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3	138.2 KB
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10	783.3 KB
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76	809.0 KB
/.../6. Breast Cancer Detection Project/
7.1 Breast_cancer_projects.ipynb	378.0 KB
2. Importing library and data and Preprocessing data.srt	16.4 KB
6. Make a Prediction.srt	12.9 KB
5. Training model.srt	9.5 KB
3. Data visualization.srt	9.0 KB
4. Understanding Machine Learning Algorithm.srt	6.5 KB
7. Summary of the project.srt	1.8 KB
1. Introduction to the project.srt	1.2 KB
2. Importing library and data and Preprocessing data.mp4	144.4 MB
6. Make a Prediction.mp4	132.6 MB
5. Training model.mp4	107.2 MB
4. Understanding Machine Learning Algorithm.mp4	88.7 MB
3. Data visualization.mp4	74.7 MB
1. Introduction to the project.mp4	17.7 MB
7. Summary of the project.mp4	8.7 MB
/.../7. Predicting Diabetes with Multilayer Perceptrons Project/
2.1 diabetes.csv	23.9 KB
3. Visualizing data.srt	13.2 KB
12.1 Diabetes_Udemy.ipynb	236.5 KB
6. Splitting the data into training, testing, and validation sets.srt	10.9 KB
4. Handling missing values.srt	10.7 KB
11. Confusion matrix.srt	9.1 KB
5. Data standardization.srt	6.8 KB
2. Importing datas and libraries.srt	6.2 KB
12. ROC curve.srt	6.1 KB
7. Model building.srt	5.4 KB
10. Testing accuracy.srt	4.8 KB
13. Further improvement.srt	4.2 KB
1. Introduction.srt	4.1 KB
8. Model compilation.srt	3.9 KB
14. Summary of the project.srt	2.1 KB
9. Model training.srt	2.0 KB
6. Splitting the data into training, testing, and validation sets.mp4	118.4 MB
3. Visualizing data.mp4	97.6 MB
4. Handling missing values.mp4	79.7 MB
11. Confusion matrix.mp4	73.0 MB
2. Importing datas and libraries.mp4	55.0 MB
5. Data standardization.mp4	52.7 MB
12. ROC curve.mp4	46.4 MB
7. Model building.mp4	41.0 MB
10. Testing accuracy.mp4	33.3 MB
8. Model compilation.mp4	31.7 MB
1. Introduction.mp4	30.9 MB
9. Model training.mp4	15.5 MB
13. Further improvement.mp4	13.9 MB
14. Summary of the project.mp4	13.9 MB
/2. Activation function/
1. What is activation function.srt	1.5 KB
2. What is sigmoid function.srt	1.5 KB
3. What is tanh function.srt	1.1 KB
4. What is Rectified Linear Unit function.srt	1.7 KB
5. What is Leaky ReLU function.srt	0.8 KB
6. What is The Exponential Linear Unit Function.srt	0.8 KB
7. What is The Swish function.srt	2.0 KB
8. What is The softmax function.srt	1.3 KB
9.1 Activation_function.ipynb	2.6 KB
9. Time to code all the activation functions.srt	6.9 KB
9. Time to code all the activation functions.mp4	38.7 MB
1. What is activation function.mp4	8.0 MB
4. What is Rectified Linear Unit function.mp4	4.5 MB
7. What is The Swish function.mp4	3.9 MB
2. What is sigmoid function.mp4	3.4 MB
8. What is The softmax function.mp4	2.5 MB
3. What is tanh function.mp4	2.5 MB
5. What is Leaky ReLU function.mp4	2.3 MB
6. What is The Exponential Linear Unit Function.mp4	1.9 MB
Total files 248