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https://github.com/hegdebhavya/cmpe257-machine-learning-assignments

This repository contains all the assignments of CMPE257 Machine Learning course
https://github.com/hegdebhavya/cmpe257-machine-learning-assignments

amalgamation classification-algorithm gaussian-mixture-models k-means-clustering machine-learning machine-learning-algorithms

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This repository contains all the assignments of CMPE257 Machine Learning course

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# 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