Machine-Learning-with-Python

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