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Udemy Machine Learning in Bioinformatics From Theory to Pract

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Uploader:

freecoursewb

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1337x

Downloads:

6

Type:

Tutorials

Language:

English

Category:

Other

Size:

2.3 GB

Added:

May 1, 2025, 8:21 a.m.

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Files:

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

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