Torrent details for "Udemy Machine Learning in Bioinformatics From Theory to Pract" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
2.3 GB
Info Hash:
5B5FFD02FD4C27E5052A2EE48C96537CAEAE0FF3
Added By:
Added:
May 1, 2025, 8:21 a.m.
Stats:
|
(Last updated: May 1, 2025, 8:23 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| 1 -Introduction to Machine Learning.mp4 | 87.9 MB |
| 2 -Setting up Environment for ML workflowsCode.mp4 | 63.8 MB |
| 1 -Capstone Projects.mp4 | 42.6 MB |
| 1 -Capstone Projects.pptx | 95.3 KB |
| 1 -Data cleaning, preprocessing, and feature engineering.mp4 | 73.3 MB |
| 2 -Data Preprocessing Techniques.mp4 | 167.1 MB |
| 2 -DataPreprocessing.ipynb | 621.4 KB |
| 3 -03_DataVisualization.ipynb | 278.3 KB |
| 3 -Data visualizations using python.mp4 | 136.2 MB |
| 1 -Introduction to Supervised Machine Learning.mp4 | 81.3 MB |
| 10 -Case Study PPI network models.mp4 | 64.9 MB |
| 10 -PPI Network.py | 4.4 KB |
| 10 -networks.csv | 155 bytes |
| 2 -04_SimpleLinearRegression.ipynb | 54.7 KB |
| 2 -Simple Linear Regression.mp4 | 84.4 MB |
| 2 -headbrain.csv | 3.5 KB |
| 3 -09_Logistic_Regression.ipynb | 32.5 KB |
| 3 -Logistic Regression.mp4 | 52.7 MB |
| 3 -titanic.csv | 105.7 KB |
| 4 -10_K_Nearest_Neighbors.ipynb | 39.8 KB |
| 4 -KNN Classifier.mp4 | 44.5 MB |
| 4 -credit_data.csv | 149.5 KB |
| 5 -11_SupportVectorMachine.ipynb | 27.1 KB |
| 5 -SVM.mp4 | 45.0 MB |
| 6 -12_Naive_Bayes.ipynb | 18.4 KB |
| 6 -Naive bayes classifier.mp4 | 28.1 MB |
| 6 -credit_data.csv | 149.5 KB |
| 7 -13_Decision_Tree_Classifier.ipynb | 1.9 MB |
| 7 -Decision trees.mp4 | 46.0 MB |
| 7 -pima-indians-diabetes.csv | 23.5 KB |
| 8 -14_Random_Forest_Classification.ipynb | 843.3 KB |
| 8 -Random Forest Classifier.mp4 | 101.0 MB |
| 8 -mushrooms.csv | 373.2 KB |
| 9 -Case Study Cancer Classifier.mp4 | 54.4 MB |
| 9 -cancer-classsifier.py | 2.5 KB |
| 9 -expression_file.csv | 487 bytes |
| 1 -Introduction to unsupervised learning.mp4 | 106.7 MB |
| 2 -Dimensionality Reduction in Bioinformatics.mp4 | 44.9 MB |
| 2 -Dimensionality Reduction in Bioinformatics.py | 1.3 KB |
| 3 -15_K_Means_Clustering.ipynb | 19.1 KB |
| 3 -K-means Clustering.mp4 | 60.3 MB |
| 3 -Quotes.csv | 1.8 KB |
| 4 -16_DBSCAN_Clustering.ipynb | 103.1 KB |
| 4 -DBSCAN.mp4 | 55.5 MB |
| 5 -17_Hierarchical_Clustering.ipynb | 26.4 KB |
| 5 -Hierarchical Clustering.mp4 | 46.8 MB |
| 6 -Case Study Single Cell analysis.mp4 | 118.9 MB |
| 6 -immune-cells.csv | 338 bytes |
| 6 -single cell using scanpy.single-cell-using-scanpy | 1.1 MB |
| 1 -Introduction and explanation of advance machine learning models.mp4 | 52.0 MB |
| 2 -Case Study predicting DNA mutations using RNN.mp4 | 55.1 MB |
| 2 -Predicting-Dna-mutations-using-RNN.py | 3.0 KB |
| 2 -data.csv | 249 bytes |
| 1 -Genomics Practical Application of ML.mp4 | 54.7 MB |
| 1 -V-C Model.py | 1.4 KB |
| 2 -ML in Proteomics.mp4 | 74.9 MB |
| 2 -aligned_sequences.fasta | 841 bytes |
| 2 -protein_sequences.fasta | 839 bytes |
| 2 -protein_tree.newick | 70 bytes |
| 2 -proteomics.py | 5.5 KB |
| 3 -ML in Drug discovery.mp4 | 53.6 MB |
| 3 -QSAR-model.py | 5.8 KB |
| 3 -drug_target_data.csv | 184 bytes |
| 4 -ML in Metagenomics.mp4 | 31.0 MB |
| 4 -file.py | 2.4 KB |
| 5 -Summary of ML Applications.mp4 | 10.0 MB |
| 1 -Evaluation and Optimization of Machine Learning Models in Bioinformatics.mp4 | 49.0 MB |
| 2 -Case Study Breast Cancer Prediction with poor and enhanced recall.mp4 | 48.0 MB |
| 2 -case-study.py | 4.8 KB |
| 1 -Data Integration and Multi-Omics in Machine Learning for Bioinformatics.mp4 | 65.4 MB |
| 2 -Case Study Multi-Omics in Cancer Research.mp4 | 47.8 MB |
| 2 -multi-omics-model.py | 2.8 KB |
| 1 -Bias and Fairness in ML Models and Case study of Polygenic Risk Scores.mp4 | 86.8 MB |
| 1 -PRS-model.py | 4.1 KB |
| 2 -Challenges in ML and Case Study of AI in COVID-19 Drug Discovery.mp4 | 64.3 MB |
| 2 -Drug-discovery-model.py | 2.1 KB |
| Bonus Resources.txt | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
-
358.7 MB
[23
/
9]
2025-04-03
| Uploaded by freecoursewb | Size 358.7 MB | Health [ 23 /9 ] | Added 2025-04-03 |
-
1.6 GB
[18
/
3]
2023-10-30
| Uploaded by FreeCourseWeb | Size 1.6 GB | Health [ 18 /3 ] | Added 2023-10-30 |
NOTE
SOURCE: Udemy Machine Learning in Bioinformatics From Theory to Pract
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
None
×


