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[ FreeCourseWeb.com ] Udemy - Machine Learning in Bioinformatics - From Theory to Practical
- Date: 2025-11-08
- Size: 2.3 GB
- Files: 78
File Name
Size
Get Bonus Downloads Here.url
183 B
~Get Your Files Here !/1 - Introduction/1 -Introduction to Machine Learning.mp4
88 MB
~Get Your Files Here !/1 - Introduction/2 -Setting up Environment for ML workflowsCode.mp4
64 MB
~Get Your Files Here !/10 - Final Projects/1 -Capstone Projects.mp4
43 MB
~Get Your Files Here !/10 - Final Projects/1 -Capstone Projects.pptx
95 kB
~Get Your Files Here !/2 - Preparing Biological Data for Machine Learning/1 -Data cleaning, preprocessing, and feature engineering.mp4
73 MB
~Get Your Files Here !/2 - Preparing Biological Data for Machine Learning/2 -Data Preprocessing Techniques.mp4
167 MB
~Get Your Files Here !/2 - Preparing Biological Data for Machine Learning/2 -DataPreprocessing.ipynb
621 kB
~Get Your Files Here !/2 - Preparing Biological Data for Machine Learning/3 -03_DataVisualization.ipynb
278 kB
~Get Your Files Here !/2 - Preparing Biological Data for Machine Learning/3 -Data visualizations using python.mp4
136 MB
~Get Your Files Here !/3 - Supervised Machine Learning/1 -Introduction to Supervised Machine Learning.mp4
81 MB
~Get Your Files Here !/3 - Supervised Machine Learning/10 -Case Study PPI network models.mp4
65 MB
~Get Your Files Here !/3 - Supervised Machine Learning/10 -PPI Network.py
4.4 kB
~Get Your Files Here !/3 - Supervised Machine Learning/10 -networks.csv
155 B
~Get Your Files Here !/3 - Supervised Machine Learning/2 -04_SimpleLinearRegression.ipynb
55 kB
~Get Your Files Here !/3 - Supervised Machine Learning/2 -Simple Linear Regression.mp4
84 MB
~Get Your Files Here !/3 - Supervised Machine Learning/2 -headbrain.csv
3.5 kB
~Get Your Files Here !/3 - Supervised Machine Learning/3 -09_Logistic_Regression.ipynb
32 kB
~Get Your Files Here !/3 - Supervised Machine Learning/3 -Logistic Regression.mp4
53 MB
~Get Your Files Here !/3 - Supervised Machine Learning/3 -titanic.csv
106 kB
~Get Your Files Here !/3 - Supervised Machine Learning/4 -10_K_Nearest_Neighbors.ipynb
40 kB
~Get Your Files Here !/3 - Supervised Machine Learning/4 -KNN Classifier.mp4
44 MB
~Get Your Files Here !/3 - Supervised Machine Learning/4 -credit_data.csv
150 kB
~Get Your Files Here !/3 - Supervised Machine Learning/5 -11_SupportVectorMachine.ipynb
27 kB
~Get Your Files Here !/3 - Supervised Machine Learning/5 -SVM.mp4
45 MB
~Get Your Files Here !/3 - Supervised Machine Learning/6 -12_Naive_Bayes.ipynb
18 kB
~Get Your Files Here !/3 - Supervised Machine Learning/6 -Naive bayes classifier.mp4
28 MB
~Get Your Files Here !/3 - Supervised Machine Learning/6 -credit_data.csv
150 kB
~Get Your Files Here !/3 - Supervised Machine Learning/7 -13_Decision_Tree_Classifier.ipynb
1.9 MB
~Get Your Files Here !/3 - Supervised Machine Learning/7 -Decision trees.mp4
46 MB
~Get Your Files Here !/3 - Supervised Machine Learning/7 -pima-indians-diabetes.csv
24 kB
~Get Your Files Here !/3 - Supervised Machine Learning/8 -14_Random_Forest_Classification.ipynb
843 kB
~Get Your Files Here !/3 - Supervised Machine Learning/8 -Random Forest Classifier.mp4
101 MB
~Get Your Files Here !/3 - Supervised Machine Learning/8 -mushrooms.csv
373 kB
~Get Your Files Here !/3 - Supervised Machine Learning/9 -Case Study Cancer Classifier.mp4
54 MB
~Get Your Files Here !/3 - Supervised Machine Learning/9 -cancer-classsifier.py
2.5 kB
~Get Your Files Here !/3 - Supervised Machine Learning/9 -expression_file.csv
487 B
~Get Your Files Here !/4 - Unsupervised Learning/1 -Introduction to unsupervised learning.mp4
107 MB
~Get Your Files Here !/4 - Unsupervised Learning/2 -Dimensionality Reduction in Bioinformatics.mp4
45 MB
~Get Your Files Here !/4 - Unsupervised Learning/2 -Dimensionality Reduction in Bioinformatics.py
1.3 kB
~Get Your Files Here !/4 - Unsupervised Learning/3 -15_K_Means_Clustering.ipynb
19 kB
~Get Your Files Here !/4 - Unsupervised Learning/3 -K-means Clustering.mp4
60 MB
~Get Your Files Here !/4 - Unsupervised Learning/3 -Quotes.csv
1.8 kB
~Get Your Files Here !/4 - Unsupervised Learning/4 -16_DBSCAN_Clustering.ipynb
103 kB
~Get Your Files Here !/4 - Unsupervised Learning/4 -DBSCAN.mp4
56 MB
~Get Your Files Here !/4 - Unsupervised Learning/5 -17_Hierarchical_Clustering.ipynb
26 kB
~Get Your Files Here !/4 - Unsupervised Learning/5 -Hierarchical Clustering.mp4
47 MB
~Get Your Files Here !/4 - Unsupervised Learning/6 -Case Study Single Cell analysis.mp4
119 MB
~Get Your Files Here !/4 - Unsupervised Learning/6 -immune-cells.csv
338 B
~Get Your Files Here !/4 - Unsupervised Learning/6 -single cell using scanpy.single-cell-using-scanpy
1.1 MB
~Get Your Files Here !/5 - Advance Machine Learning/1 -Introduction and explanation of advance machine learning models.mp4
52 MB
~Get Your Files Here !/5 - Advance Machine Learning/2 -Case Study predicting DNA mutations using RNN.mp4
55 MB
~Get Your Files Here !/5 - Advance Machine Learning/2 -Predicting-Dna-mutations-using-RNN.py
3.0 kB
~Get Your Files Here !/5 - Advance Machine Learning/2 -data.csv
249 B
~Get Your Files Here !/6 - Practical Application of ML/1 -Genomics Practical Application of ML.mp4
55 MB
~Get Your Files Here !/6 - Practical Application of ML/1 -V-C Model.py
1.4 kB
~Get Your Files Here !/6 - Practical Application of ML/2 -ML in Proteomics.mp4
75 MB
~Get Your Files Here !/6 - Practical Application of ML/2 -aligned_sequences.fasta
841 B
~Get Your Files Here !/6 - Practical Application of ML/2 -protein_sequences.fasta
839 B
~Get Your Files Here !/6 - Practical Application of ML/2 -protein_tree.newick
70 B
~Get Your Files Here !/6 - Practical Application of ML/2 -proteomics.py
5.5 kB
~Get Your Files Here !/6 - Practical Application of ML/3 -ML in Drug discovery.mp4
54 MB
~Get Your Files Here !/6 - Practical Application of ML/3 -QSAR-model.py
5.8 kB
~Get Your Files Here !/6 - Practical Application of ML/3 -drug_target_data.csv
184 B
~Get Your Files Here !/6 - Practical Application of ML/4 -ML in Metagenomics.mp4
31 MB
~Get Your Files Here !/6 - Practical Application of ML/4 -file.py
2.4 kB
~Get Your Files Here !/6 - Practical Application of ML/5 -Summary of ML Applications.mp4
10 MB
~Get Your Files Here !/7 - Evaluating and Optimizing Machine Learning Models/1 -Evaluation and Optimization of Machine Learning Models in Bioinformatics.mp4
49 MB
~Get Your Files Here !/7 - Evaluating and Optimizing Machine Learning Models/2 -Case Study Breast Cancer Prediction with poor and enhanced recall.mp4
48 MB
~Get Your Files Here !/7 - Evaluating and Optimizing Machine Learning Models/2 -case-study.py
4.8 kB
~Get Your Files Here !/8 - Data Integration and Multi-Omics in Machine Learning/1 -Data Integration and Multi-Omics in Machine Learning for Bioinformatics.mp4
65 MB
~Get Your Files Here !/8 - Data Integration and Multi-Omics in Machine Learning/2 -Case Study Multi-Omics in Cancer Research.mp4
48 MB
~Get Your Files Here !/8 - Data Integration and Multi-Omics in Machine Learning/2 -multi-omics-model.py
2.8 kB
~Get Your Files Here !/9 - Ethical and Practical Considerations in Machine Learning for Bioinformatics/1 -Bias and Fairness in ML Models and Case study of Polygenic Risk Scores.mp4
87 MB
~Get Your Files Here !/9 - Ethical and Practical Considerations in Machine Learning for Bioinformatics/1 -PRS-model.py
4.1 kB
~Get Your Files Here !/9 - Ethical and Practical Considerations in Machine Learning for Bioinformatics/2 -Challenges in ML and Case Study of AI in COVID-19 Drug Discovery.mp4
64 MB
~Get Your Files Here !/9 - Ethical and Practical Considerations in Machine Learning for Bioinformatics/2 -Drug-discovery-model.py
2.1 kB
~Get Your Files Here !/Bonus Resources.txt
70 B