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Machine Learning With Python

devamoghs profile image Amogh Singhal ・2 min read

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Small scale machine learning projects to understand the core concepts (order: oldest to newest)

  • Topic Modelling using Latent Dirichlet Allocation with newsgroups20 dataset, implemented with Python and Scikit-Learn
  • Implemented a simple neural network built with Keras on MNIST dataset
  • Stock Price Forecasting on Google using Linear Regression
  • Implemented a simple a social network to learn basics of Python
  • Implemented Naives Bayes Classifier to filter spam messages on SpamAssasin Public Corpus
  • Churn Prediction Model for banking dataset using Keras and Scikit-Learn
  • Implemented Random Forest from scratch and built a classifier on Sonar dataset from UCI repository
  • Simple Linear Regression in Python on sample dataset
  • Multiple Regression in Python on sample dataset
  • PCA and scaling sample stock data in Python [working_with_data]
  • Decision Trees in Python on sample dataset
  • Logistic Regression in Python on sample dataset
  • Built a neural network in Python to defeat a captcha system
  • Helper methods include commom operations used in Statistics, Probability, Linear Algebra and Data Analysis
  • K-means clustering with example data; clustering colors with k-means; Bottom-up Hierarchical Clustering
  • Generating Word Clouds
  • Sentence generation using n-grams
  • Sentence generation using Grammars and Automata Theory; Gibbs Sampling
  • Topic Modelling using Latent Dirichlet Analysis (LDA)
  • Wrapper for using Scikit-Learn's GridSearchCV for a Keras Neural Network

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