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FCC-ML

Projects for Free Code Camp Certification

5 Project I made are:

  1. Book Reccomentdation Generator using K-Nearest Neighbours 📖
  • Used a dataset from FCC that contained 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.
  • Clean data to only use relevant reveiws
  • Create a KNN model and also implemented a function that returns 5 recommendes books based of the book you input
  1. Predict Health Care Costs using Linear Regression 🏥💸
  • Used a dataset from FCC that contained over 1300 different patients insurance with 7 different demographics for each patient
  • Cleaned data and split into train and test data sets
  • Solved problem using NN and was able to improve network by anyalising loss
  • Was able to predict Health Care Costs Insurance Costs within $1840
  1. Cat and Dog Classifier using Convelutional Neural Networ😺🐶
  • Used a dataset from FCC that contained over 4000 images of cats and dogs
  • Cleaned and used Data Augmentation to transform dataset to over _______ images
  • Was able to create a model that could predict a cat/dog with a 70% accuracy
  1. "Ham or Spam" Text Message Classifier using Sentimental Anyalsis 📩✅
  • Used a dataset from FCC with over 4000 label text messages
  • Tokenized and Padded training data
  • Created model that was able to classify messages with a 93% accuracy
  1. Developed Rock Paper Scissors Algorithm 🪨📃✂️ -Able to create algorthim based counting the frequnecy of patterns that the opponent plays (Not Shown on git hub as doesn't ML models)

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