/CMPE257-Machine-Learning-Assignments

This repository contains all the assignments of CMPE257 Machine Learning course

Primary LanguageJupyter Notebook

CMPE257-Machine-learning-Assignments

HW1 to HW7

Dataset used (Housing Price dataset scraped from redfin)

Business Narrative

Our mission is to provide valuable insights and guidance to prospective investors and homebuyers, empowering them to make informed decisions about investing in real estate. We understand that real estate is a significant financial commitment, and it’s crucial to assess its viability thoroughly. Through our platform, we offer a comprehensive suite of tools, data, and expertise to help individuals navigate the complex world of real estate investments.

HW1

K-means Clustering Apply two clustering methods in your datasets(apply two algorithms one with scikit, the other with tensorflow or pytorch)

HW2

Cluster with GMM(Apply the Gaussian Mixture Model Algorithm)

HW3

Fractal Clustering

HW4

Classification, Amalgamation , Confusion

HW6

End to end dependencies: Changing Data Distribution and seeing impact on Model Metrics and Visualizing Outcomes

HW7

Regression, MLP and Latent Manifolds

NLP Assignments

HW8

NLP POS Substitutions and Tones for Poets

HW9

Obtaining Adequate Gold Std and Sample Short Text to use sentiments, topics, POS and KG's to Analyze a Distribution of Acceptable (Gold Std) Text (NLU) and Comparing Samples with the Gold Standard

HW10

Fine tune a model that represents yorr poet.

HW11

RAG Using weaviate

HW12

Mining News Articles and Assembling a Knowledge Graph