Download Udemy - Machine Learning in Bioinformatics - From Theory to Practical Torrent

Torrent Contents Size: 2.3 GB

Udemy - Machine Learning in Bioinformatics - From Theory to Practical

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1 -Bias and Fairness in ML Models and Case study of Polygenic Risk Scores.mp4	MP4	86.8 MB
1 -Capstone Projects.mp4	MP4	42.6 MB
1 -Capstone Projects.pptx	PPTX	95.3 KB
1 -Data Integration and Multi-Omics in Machine Learning for Bioinformatics.mp4	MP4	65.4 MB
1 -Data cleaning, preprocessing, and feature engineering.mp4	MP4	73.3 MB
1 -Evaluation and Optimization of Machine Learning Models in Bioinformatics.mp4	MP4	49 MB
1 -Genomics Practical Application of ML.mp4	MP4	54.7 MB
1 -Introduction and explanation of advance machine learning models.mp4	MP4	52 MB
1 -Introduction to Machine Learning.mp4	MP4	87.9 MB
1 -Introduction to Supervised Machine Learning.mp4	MP4	81.3 MB
1 -Introduction to unsupervised learning.mp4	MP4	106.7 MB
1 -PRS-model.py	PY	4.1 KB
1 -V-C Model.py	PY	1.4 KB
10 -Case Study PPI network models.mp4	MP4	64.9 MB
10 -PPI Network.py	PY	4.4 KB
10 -networks.csv	CSV	204.8 B
2 -04_SimpleLinearRegression.ipynb	IPYNB	54.7 KB
2 -Case Study Breast Cancer Prediction with poor and enhanced recall.mp4	MP4	48 MB
2 -Case Study Multi-Omics in Cancer Research.mp4	MP4	47.8 MB
2 -Case Study predicting DNA mutations using RNN.mp4	MP4	55.1 MB
2 -Challenges in ML and Case Study of AI in COVID-19 Drug Discovery.mp4	MP4	64.3 MB
2 -Data Preprocessing Techniques.mp4	MP4	167.1 MB
2 -DataPreprocessing.ipynb	IPYNB	621.4 KB
2 -Dimensionality Reduction in Bioinformatics.mp4	MP4	44.9 MB
2 -Dimensionality Reduction in Bioinformatics.py	PY	1.3 KB
2 -Drug-discovery-model.py	PY	2.1 KB
2 -ML in Proteomics.mp4	MP4	74.9 MB
2 -Predicting-Dna-mutations-using-RNN.py	PY	3 KB
2 -Setting up Environment for ML workflowsCode.mp4	MP4	63.8 MB
2 -Simple Linear Regression.mp4	MP4	84.4 MB
2 -aligned_sequences.fasta	FASTA	819.2 B
2 -case-study.py	PY	4.8 KB
2 -data.csv	CSV	204.8 B
2 -headbrain.csv	CSV	3.5 KB
2 -multi-omics-model.py	PY	2.8 KB
2 -protein_sequences.fasta	FASTA	819.2 B
2 -protein_tree.newick	NEWICK	102.4 B
2 -proteomics.py	PY	5.5 KB
3 -03_DataVisualization.ipynb	IPYNB	278.3 KB
3 -09_Logistic_Regression.ipynb	IPYNB	32.5 KB
3 -15_K_Means_Clustering.ipynb	IPYNB	19.1 KB
3 -Data visualizations using python.mp4	MP4	136.2 MB
3 -K-means Clustering.mp4	MP4	60.3 MB
3 -Logistic Regression.mp4	MP4	52.7 MB
3 -ML in Drug discovery.mp4	MP4	53.6 MB
3 -QSAR-model.py	PY	5.8 KB
3 -Quotes.csv	CSV	1.8 KB
3 -drug_target_data.csv	CSV	204.8 B
3 -titanic.csv	CSV	105.7 KB
4 -10_K_Nearest_Neighbors.ipynb	IPYNB	39.8 KB
4 -16_DBSCAN_Clustering.ipynb	IPYNB	103.1 KB
4 -DBSCAN.mp4	MP4	55.5 MB
4 -KNN Classifier.mp4	MP4	44.5 MB
4 -ML in Metagenomics.mp4	MP4	31 MB
4 -credit_data.csv	CSV	149.5 KB
4 -file.py	PY	2.4 KB
5 -11_SupportVectorMachine.ipynb	IPYNB	27.1 KB
5 -17_Hierarchical_Clustering.ipynb	IPYNB	26.4 KB
5 -Hierarchical Clustering.mp4	MP4	46.8 MB
5 -SVM.mp4	MP4	45 MB
5 -Summary of ML Applications.mp4	MP4	10 MB
6 -12_Naive_Bayes.ipynb	IPYNB	18.4 KB
6 -Case Study Single Cell analysis.mp4	MP4	118.9 MB
6 -Naive bayes classifier.mp4	MP4	28.1 MB
6 -credit_data.csv	CSV	149.5 KB
6 -immune-cells.csv	CSV	307.2 B
6 -single cell using scanpy.single-cell-using-scanpy	SINGLE-CELL-USING-SCANPY	1.1 MB
7 -13_Decision_Tree_Classifier.ipynb	IPYNB	1.9 MB
7 -Decision trees.mp4	MP4	46 MB
7 -pima-indians-diabetes.csv	CSV	23.5 KB
8 -14_Random_Forest_Classification.ipynb	IPYNB	843.3 KB
8 -Random Forest Classifier.mp4	MP4	101 MB
8 -mushrooms.csv	CSV	373.2 KB
9 -Case Study Cancer Classifier.mp4	MP4	54.4 MB
9 -cancer-classsifier.py	PY	2.5 KB
9 -expression_file.csv	CSV	512 B
Bonus Resources.txt	TXT	102.4 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Machine Learning in Bioinformatics - From Theory to Practical

Torrent Contents Size: 2.3 GB

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