FMML_PROJECTS_AND_LABS

My Projects and Lab Submissions of FMML IIIT-Hyderabad Program

Basics of Python lab - Uploaded [01/09/2023]
Module 01 Lab 01 Extracting Features - Uploaded [09/09/2023]
{Module 01 Lab 01 Updated with answers - 24/09/2023}
Module 01 Lab 02 ML Practice - Uploaded [17/09/2023]
Module 01 Lab 03 Augmentation - Uploaded [24/09/2023]
Module 01 Lab 04 LinearAlgebra - Uploaded [01/10/2023]
Module 02 Lab 01 Interpreting and Visualizing Data - Uploaded [08/10/2023]
Module 02 Lab 02 PCA - Uploaded [Late - 16/10/2023]
Module 02 Lab 03 Manifold Learning Methods - Uploaded [22/10/2023]
Module 02 Lab 04 t-SNE - Uploaded [29/10/2023]
Module 03 Lab 01 Distance Metrics and Intro to KNN - Uploaded [06/10/2023]
Module 03 Lab 02 Implementing KNN - Uploaded [12/11/2023]
Module 03 Lab 03 Using KNN for Text Classification - Uploaded [Late - 20/11/2023]
Module 03 Project - Uploaded [24/11/2023]
Module 03 Lab 04 - Understanding Cross-Validation and Standardization - Uploaded [26/11/2023]
Module 04 Lab 01 - Perceptron and Gradient Descent - Uploaded [03/12/2023]
Module 04 Lab 02 - Introduction to Gradient Descent - Uploaded [10/12/2023]
Module 04 Lab 03 - Uploaded [Late - 19/12/2023]
Module 04 Lab 04 - Uploaded [24/12/2023]
Module 05 Lab 01 - Uploaded [Late - 07/01/2024]
Module 05 Lab 02 - Uploaded [07/01/2024]
Module 05 Lab 03 - Uploaded [14/01/2024]
Module 05 Project - Uploaded [20/01/2024]
Module 05 Lab 04 - Uploaded [Late - 22/01/2024]
Module 06 Lab 01 - Uploaded [28/01/2024]
Module 06 Lab 02 - Uploaded [Late - 05/02/2024]
Module 06 Project - Uploaded [10/02/2024]
Module 06 Lab 03 - Uploaded [Late - 12/02/2024]
Module 07 Lab 01 - Uploaded [19/02/2024]
Module 07 Lab 02 - Uploaded [25/02/2024]
Module 07 Lab 03 - Uploaded [Late - 08/03/2024]
Module 07 Lab 04 - Uploaded [10/03/2024]
Module 08 Lab 01 - Uploaded [17/03/2024]
Module 08 Lab 02 - Uploaded [Late - 31/03/2024]
Module 08 Lab 03 - Uploaded [31/03/2024]

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FMML_PROJECTS_AND_LABS

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Name		Name	Last commit message	Last commit date
Latest commit History 79 Commits
FMML Aug'22 M9 L1.ipynb		FMML Aug'22 M9 L1.ipynb
FMML Aug'22 M9 L2.ipynb		FMML Aug'22 M9 L2.ipynb
FMML Aug'23 M9 Project Breast Cancer Prediction with MLP.ipynb		FMML Aug'23 M9 Project Breast Cancer Prediction with MLP.ipynb
FMML Course Module 08 Lab 03.ipynb		FMML Course Module 08 Lab 03.ipynb
FMML Course Module 8 Lab 1.ipynb		FMML Course Module 8 Lab 1.ipynb
FMML Course Topic 8 Lab 4.ipynb		FMML Course Topic 8 Lab 4.ipynb
FMML Module 04 Lab 03 2024.ipynb		FMML Module 04 Lab 03 2024.ipynb
FMML Module 4 Lab 4 2024.ipynb		FMML Module 4 Lab 4 2024.ipynb
FMML Module 5 Lab 1.ipynb		FMML Module 5 Lab 1.ipynb
FMML Module 9 Lab 3.ipynb		FMML Module 9 Lab 3.ipynb
FMML_2023_Basics_of_Python_lab_1.ipynb		FMML_2023_Basics_of_Python_lab_1.ipynb
FMML_2023_Module_01_Lab_01_Features.ipynb		FMML_2023_Module_01_Lab_01_Features.ipynb
FMML_Classification_II_Module_5_Lab2.ipynb		FMML_Classification_II_Module_5_Lab2.ipynb
FMML_Module_4_Lab_2_2024.ipynb		FMML_Module_4_Lab_2_2024.ipynb
K_MeansClustering.ipynb		K_MeansClustering.ipynb
Mod 2 Lab 4 t-SNE.ipynb		Mod 2 Lab 4 t-SNE.ipynb
Module 01 Lab 02 MLPractice.ipynb		Module 01 Lab 02 MLPractice.ipynb
Module 01 Lab 03 Augmentation.ipynb		Module 01 Lab 03 Augmentation.ipynb
Module 01 Lab 04 LinearAlgebra.ipynb		Module 01 Lab 04 LinearAlgebra.ipynb
Module 06 Lab - Regression Lab 3.ipynb		Module 06 Lab - Regression Lab 3.ipynb
Module 07 Lab 03 Matrix Factorization and SVD.ipynb		Module 07 Lab 03 Matrix Factorization and SVD.ipynb
Module 07 Lab 04 Anomaly Detection and KMeans Application.ipynb		Module 07 Lab 04 Anomaly Detection and KMeans Application.ipynb
Module 09 Lab 04.ipynb		Module 09 Lab 04.ipynb
Module 2 Lab 2 - PCA.ipynb		Module 2 Lab 2 - PCA.ipynb
Module 2 Lab 3 - Manifold Learning Methods.ipynb		Module 2 Lab 3 - Manifold Learning Methods.ipynb
Module 3 Lab 1 - Distance Metrics and KNN.ipynb		Module 3 Lab 1 - Distance Metrics and KNN.ipynb
Module 3 Lab 2 - Implementing KNN.ipynb		Module 3 Lab 2 - Implementing KNN.ipynb
Module 3 Lab 3 KNN for Text Classification.ipynb		Module 3 Lab 3 KNN for Text Classification.ipynb
Module 3 Lab 4.ipynb		Module 3 Lab 4.ipynb
Module 3 Project.ipynb		Module 3 Project.ipynb
Module 4 Lab 1 Perceptron and Gradient Descent.ipynb		Module 4 Lab 1 Perceptron and Gradient Descent.ipynb
Module 5 Lab 3 Information Metrics and generalizability of Decision Trees.ipynb		Module 5 Lab 3 Information Metrics and generalizability of Decision Trees.ipynb
Module 5 Lab 4 - Ensemble Methods and Random Forests.ipynb		Module 5 Lab 4 - Ensemble Methods and Random Forests.ipynb
Module 6 - Regression Project.ipynb		Module 6 - Regression Project.ipynb
Module 6 Regression Lab 1.ipynb		Module 6 Regression Lab 1.ipynb
Module 6 Regression Lab 2.ipynb		Module 6 Regression Lab 2.ipynb
Module 7 Lab 2 Hierarchical Clustering.ipynb		Module 7 Lab 2 Hierarchical Clustering.ipynb
Module-2 Lab-1.ipynb		Module-2 Lab-1.ipynb
README.md		README.md
Workbook Module 5 Project.ipynb		Workbook Module 5 Project.ipynb

Nitin-Sagar-B/FMML_PROJECTS_AND_LABS

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