CS-4375-assignments

Contains all the work and assignments I have done for my CS 4375 aka Machine Learning class at UT Dallas.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Biodiversity.ipynb		Biodiversity.ipynb
D Trees.ipynb		D Trees.ipynb
DecisionTree.png		DecisionTree.png
Deep Neural Networks.txt		Deep Neural Networks.txt
Diabetes KNN.ipynb		Diabetes KNN.ipynb
Entropy Calculation2.xlsx		Entropy Calculation2.xlsx
Entropy of the entire set.txt		Entropy of the entire set.txt
Exam 2 Part 2 Sp23.ipynb		Exam 2 Part 2 Sp23.ipynb
Exam 2 Review.txt		Exam 2 Review.txt
Feb 6 Lecture Notes.txt		Feb 6 Lecture Notes.txt
Final Assignment.ipynb		Final Assignment.ipynb
Gradebook.ipynb		Gradebook.ipynb
Hello Yash.py		Hello Yash.py
Hidden Markov Models.xlsx		Hidden Markov Models.xlsx
In Class Assignment #10.ipynb		In Class Assignment #10.ipynb
In Class Assignment #13.ipynb		In Class Assignment #13.ipynb
In Class Assignment #14.ipynb		In Class Assignment #14.ipynb
In Class Assignment #15.ipynb		In Class Assignment #15.ipynb
In Class Assignment #18.ipynb		In Class Assignment #18.ipynb
In Class Assignment 02.13.2023.ipynb		In Class Assignment 02.13.2023.ipynb
In Class Assignment 02.22.2023.ipynb		In Class Assignment 02.22.2023.ipynb
In Class Assignment 03.20.2023.ipynb		In Class Assignment 03.20.2023.ipynb
In Class Assignment 11.ipynb		In Class Assignment 11.ipynb
In Class Assignment 16.ipynb		In Class Assignment 16.ipynb
In Class Assignment 17.ipynb		In Class Assignment 17.ipynb
In Class Assignment 20.ipynb		In Class Assignment 20.ipynb
In Class Assignment 4.ipynb		In Class Assignment 4.ipynb
In Class Assignment 4.py		In Class Assignment 4.py
In Class Feb 27_1 MLR.ipynb		In Class Feb 27_1 MLR.ipynb
In Class Feb 27_2 MLR.ipynb		In Class Feb 27_2 MLR.ipynb
In Class Feb 27_3 MLR.ipynb		In Class Feb 27_3 MLR.ipynb
In Class Mar 1 sklearn MLR.ipynb		In Class Mar 1 sklearn MLR.ipynb
In Class Markups.txt		In Class Markups.txt
Jan23 Lecture.txt		Jan23 Lecture.txt
Jan25 Lecture.txt		Jan25 Lecture.txt
KNN Analysis.ipynb		KNN Analysis.ipynb
KNN_Data		KNN_Data
KNN_Data.txt		KNN_Data.txt
Lecture Mar 8.txt		Lecture Mar 8.txt
Machine Learning Networks.txt		Machine Learning Networks.txt
Neural Network.xlsx		Neural Network.xlsx
PortlandOreganHousing.csv		PortlandOreganHousing.csv
Python Crash Course Part 2.ipynb		Python Crash Course Part 2.ipynb
Python Crash Course.ipynb		Python Crash Course.ipynb
Quiz 4.ipynb		Quiz 4.ipynb
README.md		README.md
TensorFlow1.ipynb		TensorFlow1.ipynb
Tensorflow Assignment.ipynb		Tensorflow Assignment.ipynb
USA_Housing.csv		USA_Housing.csv
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.ipynb
Untitled3.ipynb		Untitled3.ipynb
Untitled4.ipynb		Untitled4.ipynb
Untitled5.ipynb		Untitled5.ipynb
Untitled6.ipynb		Untitled6.ipynb
Untitled7.ipynb		Untitled7.ipynb
Untitled8.ipynb		Untitled8.ipynb
deep-learning-using-tensorflow.png		deep-learning-using-tensorflow.png
diabetes.csv		diabetes.csv
ex1data1.txt		ex1data1.txt
ex1data2.txt		ex1data2.txt
get-pip.py		get-pip.py
hearing_test.csv		hearing_test.csv
loan_data.csv		loan_data.csv
python_crash_course.py		python_crash_course.py
sklearn practice .ipynb		sklearn practice .ipynb
untitled.txt		untitled.txt

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